Command R7B (12-2024) vs Gemini 3.1 Pro Preview
Command R7B (12-2024) costs 80.0x less per output token than Gemini 3.1 Pro Preview ($0.15 vs $12.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
Command R7B (12-2024)Cohere
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
Gemini 3.1 Pro PreviewGoogle
- Coding
- 32.3
- Overall
- 54.0
- Output $/M
- $12.00
vs $0.15 vs $12.00 per 1M output tokens. Command R7B (12-2024) is 80.0x cheaper.
Command R7B (12-2024) or Gemini 3.1 Pro Preview: which to pick
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Command R7B (12-2024) has none, so the two cannot be ranked on coding.
Pick Command R7B (12-2024) for output tokens 80.0x cheaper ($0.15 vs $12.00 per million).
Model ACommand R7B (12-2024)CohereNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); Gemini 3.1 Pro Preview on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI). Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 3.1 Pro Preview has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemini 3.1 Pro Preview has a AA Intelligence Index result, 29.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Pro Preview has a MMLU Pro result, 91.0%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.1 Pro Preview has a Design Arena: websites result, 1234.
Directional only
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Command R7B (12-2024)
Command R7B (12-2024) $0.0001, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Command R7B (12-2024) not benchmarked, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Command R7B (12-2024) $0.15 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 80.0x apart.
- Context window
- Command R7B (12-2024) takes 128K tokens, Gemini 3.1 Pro Preview 1.05M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index24 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1447 | Only Gemini 3.1 Pro Preview measured |
| AA Coding Index | Not measured | 68.8 | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Vals AI) | Not measured | 88.5% | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 2.5% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | Not measured | 32.0% | Only Gemini 3.1 Pro Preview measured |
| Code migration (Vals AI) | Not measured | 17.3% | Only Gemini 3.1 Pro Preview measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | Not measured | 51.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 70.8% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 6.7% | Only Gemini 3.1 Pro Preview measured |
| SciCode | Not measured | 58.7% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench | Not measured | 80.2% | Only Gemini 3.1 Pro Preview measured |
| GSO-Bench | Not measured | 22.6% | Only Gemini 3.1 Pro Preview measured |
| WeirdML | Not measured | 72.1% | Only Gemini 3.1 Pro Preview measured |
| MirrorCode | Not measured | 8.9% | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | Not measured | 1160.6 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: coding | Not measured | 1484 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: software and IT | Not measured | 1487 | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: React | Not measured | 1438 | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: HTML | Not measured | 1490 | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: from an image | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| SciCode | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 29.7 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 8.2 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | Not measured | 1125 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | Not measured | 1068 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | Not measured | 1093 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | Not measured | 1048 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | Not measured | 1236 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | Not measured | 1114 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | Not measured | 1153 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | Not measured | 1066 | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | Not measured | 43.0% | Only Gemini 3.1 Pro Preview measured |
| Tax Agent Bench (Vals AI) | Not measured | 9.3% | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 52.6% | Only Gemini 3.1 Pro Preview measured |
| BioMysteryBench (Vals AI) | Not measured | 60.0% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | Not measured | 27.4% | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | Not measured | 95.6% | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | Not measured | 35.1% | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | Not measured | 77.0% | Only Gemini 3.1 Pro Preview measured |
| BALROG | Not measured | 57.0% | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | Not measured | 47.8% | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | Not measured | 22.0% | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | Not measured | $911 | Only Gemini 3.1 Pro Preview measured |
| Berkeley Function Calling Leaderboard (BFCL) | 32.1% | Not measured | Only Command R7B (12-2024) measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 95.5% | Only Gemini 3.1 Pro Preview measured |
| MysteryMechanism (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 94.1% | Only Gemini 3.1 Pro Preview measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 47.0% | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Epoch AI run) | Not measured | 94.4% | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI | Not measured | 98.0% | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | Not measured | 79.6% | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | Not measured | 51.0% | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | Not measured | 34.0% | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | Not measured | 1485 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: expert | Not measured | 1483 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts in English | Not measured | 1480 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: diagrams | Not measured | 1311 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | Not measured | 1316 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 5 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AIME | Not measured | 98.1% | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | Not measured | 95.6% | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tiers 1 to 3 | Not measured | 59.6% | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Gemini 3.1 Pro Preview measured |
| ProofBench | Not measured | 26.0% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | Not measured | 1486 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: mathematical work | Not measured | 1478 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 91.0% | Only Gemini 3.1 Pro Preview measured |
| LegalBench (Vals AI) | Not measured | 87.4% | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | Not measured | 64.8% | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | Not measured | 64.5% | Only Gemini 3.1 Pro Preview measured |
| TaxEval (Vals AI) | Not measured | 72.9% | Only Gemini 3.1 Pro Preview measured |
| MortgageTax (Vals AI) | Not measured | 69.4% | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | Not measured | 96.4% | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | Not measured | 59.1% | Only Gemini 3.1 Pro Preview measured |
| SimpleQA Verified | Not measured | 73.5% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | Not measured | 1497 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: medicine and healthcare | Not measured | 1486 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: legal and government | Not measured | 1487 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: business and finance | Not measured | 1459 | Only Gemini 3.1 Pro Preview measured |
| FACTS Benchmark Suite | Not measured | 67.4% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1234 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: UI components | Not measured | 1227 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: game dev | Not measured | 1203 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: data viz | Not measured | 1209 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: 3D | Not measured | 1234 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: all code categories | Not measured | 1231 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: SVG | Not measured | 1285 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: ASCII art | Not measured | 1270 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index38 boards measured
| Benchmark | Command R7B (12-2024) | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | Not measured | 48.7% | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | Not measured | 76.1% | Only Gemini 3.1 Pro Preview measured |
| Vals Multimodal Index | Not measured | 56.1% | Only Gemini 3.1 Pro Preview measured |
| IFBench | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | Not measured | 82.0% | Only Gemini 3.1 Pro Preview measured |
| DTBench | Not measured | 97.1% | Only Gemini 3.1 Pro Preview measured |
| LMCA | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| CL-bench | Not measured | 20.8% | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | Not measured | 26.1% | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | Not measured | 16.9% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | Not measured | 1480 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: instruction following | Not measured | 1466 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: creative writing | Not measured | 1482 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision | Not measured | 1296 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | Not measured | 1478 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: non-English | Not measured | 1476 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Chinese | Not measured | 1527 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: German | Not measured | 1490 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | Not measured | 1491 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | Not measured | 1455 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: French | Not measured | 1487 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Spanish | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Russian | Not measured | 1497 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Polish | Not measured | 1498 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | Not measured | 1487 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: longer queries | Not measured | 1482 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: writing and language | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: entertainment and media | Not measured | 1465 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: English | Not measured | 1287 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | Not measured | 1364 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | Not measured | 1304 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: humor | Not measured | 1322 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | Not measured | 1345 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | Not measured | 1330 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | Not measured | 1324 | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | Not measured | 1444 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 8 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Command R7B (12-2024)$0.0001Fits in one request
Gemini 3.1 Pro Preview$0.0080Fits in one request
Command R7B (12-2024) costs less
Repository review
50K input + 3K output tokens
Command R7B (12-2024)$0.0023Fits in one request
Gemini 3.1 Pro Preview$0.136Fits in one request
Command R7B (12-2024) costs less
Agent loop
200K input + 10K output tokens
Command R7B (12-2024)$0.0090Exceeds the context window
Gemini 3.1 Pro Preview$0.520Fits in one request
Command R7B (12-2024) costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Cohere Command R7B (12-2024) | Google Gemini 3.1 Pro Preview |
|---|---|---|
| Maker | Cohere | |
| Weights | No public weights listed | No public weights listed |
| Released | December 14, 2024 | February 19, 2026 |
| Context window | 128K | 1.05M |
| Input $/Mtok | $0.0375 | $2.00 |
| Output $/Mtok | $0.15 | $12.00 |
| Coding index | Not benchmarked | 32.3 |
| Independent measurements behind it | 0 | 4 |
| Cost per solved task | Not computable | $0.99 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command R7B (12-2024) better than Gemini 3.1 Pro Preview for coding?
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Command R7B (12-2024) has none, so the two cannot be ranked on coding. Pick Command R7B (12-2024) for output tokens 80.0x cheaper ($0.15 vs $12.00 per million).
Which is cheaper, Command R7B (12-2024) or Gemini 3.1 Pro Preview?
Command R7B (12-2024) costs $0.0375 per million input tokens and $0.15 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Command R7B (12-2024) or Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview, with 1.05M tokens against 128K.
Has any benchmark tested both Command R7B (12-2024) and Gemini 3.1 Pro Preview?
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); Gemini 3.1 Pro Preview on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.