Command R7B (12-2024) vs DeepSeek V4 Flash 0731
Command R7B (12-2024) costs 2.6x less per output token than DeepSeek V4 Flash 0731 ($0.15 vs $0.396 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- 51.8
- Overall
- 55.2
- Output $/M
- $0.396
Command R7B (12-2024) or DeepSeek V4 Flash 0731: which to pick
Only DeepSeek V4 Flash 0731 has a coding score, 51.8 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 2.6x cheaper ($0.15 vs $0.396 per million).
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); DeepSeek V4 Flash 0731 on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (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 DeepSeek V4 Flash 0731 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only DeepSeek V4 Flash 0731 has a AA Intelligence Index result, 34.3.
Directional only
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0731 has a AA Agentic Index result, 41.0.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Flash 0731 has a GPQA Diamond result, 89.9%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Flash 0731 has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V4 Flash 0731 has a Design Arena: websites result, 1237.
Directional only
Long documents
Listed context window
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 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, DeepSeek V4 Flash 0731 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Flash 0731 has the number, $0.01.
Directional only
At a glance
- Coding index
- Command R7B (12-2024) not benchmarked, DeepSeek V4 Flash 0731 51.8 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 DeepSeek V4 Flash 0731 $0.396 per million output tokens, 2.6x apart.
- Context window
- Command R7B (12-2024) takes 128K tokens, DeepSeek V4 Flash 0731 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 Index15 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 69.1 | Only DeepSeek V4 Flash 0731 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only DeepSeek V4 Flash 0731 measured |
| SWE-bench Verified (Vals AI) | Not measured | 88.8% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 18.7% | Only DeepSeek V4 Flash 0731 measured |
| Vibe Code Bench (Vals AI) | Not measured | 74.7% | Only DeepSeek V4 Flash 0731 measured |
| Code migration (Vals AI) | Not measured | 38.6% | Only DeepSeek V4 Flash 0731 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only DeepSeek V4 Flash 0731 measured |
| IOI (Vals AI) | Not measured | 32.7% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.0% | Only DeepSeek V4 Flash 0731 measured |
| SkillsBench (Vals AI) | Not measured | 50.7% | Only DeepSeek V4 Flash 0731 measured |
| CyberBench (Vals AI) | Not measured | 72.1% | Only DeepSeek V4 Flash 0731 measured |
| SciCode | Not measured | 50.3% | Only DeepSeek V4 Flash 0731 measured |
| FrontierCode | Not measured | 18.8% | Only DeepSeek V4 Flash 0731 measured |
| WeirdML | Not measured | 63.0% | Only DeepSeek V4 Flash 0731 measured |
| ALE-Bench | Not measured | 1306.1 | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 34.3 | Only DeepSeek V4 Flash 0731 measured |
| Epoch Capabilities Index | Not measured | 154.8 | Only DeepSeek V4 Flash 0731 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.0 | Only DeepSeek V4 Flash 0731 measured |
| Finance Agent (Vals AI) | Not measured | 49.5% | Only DeepSeek V4 Flash 0731 measured |
| Tax Agent Bench (Vals AI) | Not measured | 28.1% | Only DeepSeek V4 Flash 0731 measured |
| Legal Research Bench (Vals AI) | Not measured | 30.3% | Only DeepSeek V4 Flash 0731 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.0% | Only DeepSeek V4 Flash 0731 measured |
| BioMysteryBench (Vals AI) | Not measured | 64.4% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Flash 0731 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 32.1% | Not measured | Only Command R7B (12-2024) measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.9% | Only DeepSeek V4 Flash 0731 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.8% | Only DeepSeek V4 Flash 0731 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 38.6% | Only DeepSeek V4 Flash 0731 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 91.0% | Only DeepSeek V4 Flash 0731 measured |
| ARC-AGI | Not measured | 89.0% | Only DeepSeek V4 Flash 0731 measured |
| ARC-AGI-2 | Not measured | 61.4% | Only DeepSeek V4 Flash 0731 measured |
| SimpleBench | Not measured | 61.1% | Only DeepSeek V4 Flash 0731 measured |
| Chess puzzles | Not measured | 32.0% | Only DeepSeek V4 Flash 0731 measured |
| Mystery game puzzles | Not measured | 34.0% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 94.4% | Only DeepSeek V4 Flash 0731 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 57.5% | Only DeepSeek V4 Flash 0731 measured |
| FrontierMath, tier 4 | Not measured | 24.4% | Only DeepSeek V4 Flash 0731 measured |
| ProofBench | Not measured | 56.0% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.2% | Only DeepSeek V4 Flash 0731 measured |
| LegalBench (Vals AI) | Not measured | 77.7% | Only DeepSeek V4 Flash 0731 measured |
| CorpFin (Vals AI) | Not measured | 61.9% | Only DeepSeek V4 Flash 0731 measured |
| TaxEval (Vals AI) | Not measured | 70.7% | Only DeepSeek V4 Flash 0731 measured |
| MedCode (Vals AI) | Not measured | 41.4% | Only DeepSeek V4 Flash 0731 measured |
| SimpleQA Verified | Not measured | 33.6% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1237 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: UI components | Not measured | 1233 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: game dev | Not measured | 1207 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: data viz | Not measured | 1180 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: 3D | Not measured | 1208 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: all code categories | Not measured | 1229 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: SVG | Not measured | 1184 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: ASCII art | Not measured | 1090 | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Command R7B (12-2024) | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 80.4% | Only DeepSeek V4 Flash 0731 measured |
| Long context reasoning (AA-LCR) | Not measured | 79.7% | Only DeepSeek V4 Flash 0731 measured |
| DTBench | Not measured | 90.9% | Only DeepSeek V4 Flash 0731 measured |
| LMCA | Not measured | 41.7% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 42 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) costs less
Repository review
50K input + 3K output tokens
Command R7B (12-2024) costs less
Agent loop
200K input + 10K output tokens
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) | DeepSeek V4 Flash 0731 |
|---|---|---|
| Maker | Cohere | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | December 14, 2024 | July 31, 2026 |
| Context window | 128K | 1.05M |
| Input $/Mtok | $0.0375 | $0.14 |
| Output $/Mtok | $0.15 | $0.396 |
| Coding index | Not benchmarked | 51.8 |
| Independent measurements behind it | 0 | 4 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command R7B (12-2024) better than DeepSeek V4 Flash 0731 for coding?
Only DeepSeek V4 Flash 0731 has a coding score, 51.8 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 2.6x cheaper ($0.15 vs $0.396 per million).
Which is cheaper, Command R7B (12-2024) or DeepSeek V4 Flash 0731?
Command R7B (12-2024) costs $0.0375 per million input tokens and $0.15 per million output tokens; DeepSeek V4 Flash 0731 costs $0.14 and $0.396. Cost per solved task is known for DeepSeek V4 Flash 0731 only.
Which has the bigger context window, Command R7B (12-2024) or DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0731, with 1.05M tokens against 128K.
Has any benchmark tested both Command R7B (12-2024) and DeepSeek V4 Flash 0731?
No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); DeepSeek V4 Flash 0731 on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). Compare them on price and context instead. Data as of October 22, 2026.