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Command R (08-2024) vs Gemini 3.1 Pro Preview

Command R (08-2024) costs 20.0x less per output token than Gemini 3.1 Pro Preview ($0.60 vs $12.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
Gemini 3.1 Pro PreviewGoogle
Coding
32.3
Overall
54.0
Output $/M
$12.00
25
vs boards won of 25 shared

Command R (08-2024) 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 R (08-2024) has none, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 20.0x cheaper ($0.60 vs $12.00 per million).

Shared results
25
Command R (08-2024) only
0
Gemini 3.1 Pro Preview only
108
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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.

At a glance

Coding index
Command R (08-2024) not benchmarked, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
Widest category
Reasoning, 49.7 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Command R (08-2024) 1166 against Gemini 3.1 Pro Preview 1491, 54.2 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 20.0x apart.
Context window
Command R (08-2024) takes 128K tokens, Gemini 3.1 Pro Preview 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryCommand R (08-2024)BarsGemini 3.1 Pro PreviewTies
Coding02
Reasoning03
Math02
Knowledge04
General014
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
LMArena WebDevNot measured1447Only Gemini 3.1 Pro Preview measured
AA Coding IndexNot measured68.8Only Gemini 3.1 Pro Preview measured
LiveCodeBench (Vals AI)Not measured88.5%Only Gemini 3.1 Pro Preview measured
SWE-bench Verified (Vals AI)Not measured78.8%Only Gemini 3.1 Pro Preview measured
Terminal-Bench 4 (Vals AI)Not measured2.5%Only Gemini 3.1 Pro Preview measured
Vibe Code Bench (Vals AI)Not measured32.0%Only Gemini 3.1 Pro Preview measured
Code migration (Vals AI)Not measured17.3%Only Gemini 3.1 Pro Preview measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.1 Pro Preview measured
IOI (Vals AI)Not measured51.8%Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)Not measured70.8%Only Gemini 3.1 Pro Preview measured
Vibe Code Bench 1-100 (Vals AI)Not measured6.7%Only Gemini 3.1 Pro Preview measured
SciCodeNot measured58.7%Only Gemini 3.1 Pro Preview measured
Terminal-Bench Hard (Artificial Analysis run)Not measured53.8%Only Gemini 3.1 Pro Preview measured
Terminal-BenchNot measured80.2%Only Gemini 3.1 Pro Preview measured
GSO-BenchNot measured22.6%Only Gemini 3.1 Pro Preview measured
WeirdMLNot measured72.1%Only Gemini 3.1 Pro Preview measured
MirrorCodeNot measured8.9%Only Gemini 3.1 Pro Preview measured
ALE-BenchNot measured1160.6Only Gemini 3.1 Pro Preview measured
LMArena Text: coding11871484Gemini 3.1 Pro Preview
LMArena Text: software and IT11971487Gemini 3.1 Pro Preview
LMArena WebDev: ReactNot measured1438Only Gemini 3.1 Pro Preview measured
LMArena WebDev: HTMLNot measured1490Only Gemini 3.1 Pro Preview measured
LMArena WebDev: from an imageNot measured1481Only Gemini 3.1 Pro Preview measured
SciCodeNot measured14.3%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, none shared
Intelligence benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
AA Intelligence IndexNot measured29.7Only 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 index24 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
AA Agentic IndexNot measured8.2Only Gemini 3.1 Pro Preview measured
Design Arena: agents building web appsNot measured1125Only Gemini 3.1 Pro Preview measured
Design Arena: agents building full-stack appsNot measured1068Only Gemini 3.1 Pro Preview measured
Design Arena: agents building mobile appsNot measured1093Only Gemini 3.1 Pro Preview measured
Design Arena: agents building Android appsNot measured1048Only Gemini 3.1 Pro Preview measured
Design Arena: agents building Godot gamesNot measured1236Only Gemini 3.1 Pro Preview measured
Design Arena: agents building gamesNot measured1114Only Gemini 3.1 Pro Preview measured
Design Arena: HTML slidesNot measured1153Only Gemini 3.1 Pro Preview measured
Design Arena: PowerPoint slidesNot measured1066Only Gemini 3.1 Pro Preview measured
SREBench (Vals AI)Not measured0.0%Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)Not measured43.0%Only Gemini 3.1 Pro Preview measured
Tax Agent Bench (Vals AI)Not measured9.3%Only Gemini 3.1 Pro Preview measured
Legal Research Bench (Vals AI)Not measured20.7%Only Gemini 3.1 Pro Preview measured
Excel Modeling Benchmark (Vals AI)Not measured52.6%Only Gemini 3.1 Pro Preview measured
BioMysteryBench (Vals AI)Not measured60.0%Only Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)Not measured1.4%Only Gemini 3.1 Pro Preview measured
Vals Science IndexNot measured27.4%Only Gemini 3.1 Pro Preview measured
τ²-Bench TelecomNot measured95.6%Only Gemini 3.1 Pro Preview measured
APEX-AgentsNot measured35.1%Only Gemini 3.1 Pro Preview measured
METR time horizonsNot measured77.0%Only Gemini 3.1 Pro Preview measured
BALROGNot measured57.0%Only Gemini 3.1 Pro Preview measured
DeepResearch BenchNot measured47.8%Only Gemini 3.1 Pro Preview measured
PostTrainBenchNot measured22.0%Only Gemini 3.1 Pro Preview measured
Vending-Bench 2Not measured$911Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
GPQA DiamondNot measured95.5%Only Gemini 3.1 Pro Preview measured
MysteryMechanism (Vals AI)Not measured20.7%Only Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)Not measured88.2%Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Gemini 3.1 Pro Preview measured
Humanity's Last Exam (Artificial Analysis run)Not measured47.0%Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Epoch AI run)Not measured94.4%Only Gemini 3.1 Pro Preview measured
ARC-AGINot measured98.0%Only Gemini 3.1 Pro Preview measured
ARC-AGI-2Not measured77.1%Only Gemini 3.1 Pro Preview measured
SimpleBenchNot measured79.6%Only Gemini 3.1 Pro Preview measured
Chess puzzlesNot measured51.0%Only Gemini 3.1 Pro Preview measured
Mystery game puzzlesNot measured34.0%Only Gemini 3.1 Pro Preview measured
EBR-benchNot measured14.3%Only Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts11861485Gemini 3.1 Pro Preview
LMArena Text: expert11731483Gemini 3.1 Pro Preview
LMArena Text: hard prompts in English11941480Gemini 3.1 Pro Preview
LMArena Vision: diagramsNot measured1311Only Gemini 3.1 Pro Preview measured
LMArena Vision: homeworkNot measured1316Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
AIMENot measured98.1%Only Gemini 3.1 Pro Preview measured
OTIS Mock AIMENot measured95.6%Only Gemini 3.1 Pro Preview measured
FrontierMath, tiers 1 to 3Not measured59.6%Only Gemini 3.1 Pro Preview measured
FrontierMath, tier 4Not measured26.8%Only Gemini 3.1 Pro Preview measured
ProofBenchNot measured26.0%Only Gemini 3.1 Pro Preview measured
LMArena Text: math11881486Gemini 3.1 Pro Preview
LMArena Text: mathematical work11981478Gemini 3.1 Pro Preview
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
MMLU ProNot measured91.0%Only Gemini 3.1 Pro Preview measured
LegalBench (Vals AI)Not measured87.4%Only Gemini 3.1 Pro Preview measured
CaseLaw (Vals AI)Not measured64.8%Only Gemini 3.1 Pro Preview measured
CorpFin (Vals AI)Not measured64.5%Only Gemini 3.1 Pro Preview measured
TaxEval (Vals AI)Not measured72.9%Only Gemini 3.1 Pro Preview measured
MortgageTax (Vals AI)Not measured69.4%Only Gemini 3.1 Pro Preview measured
MedQA (Vals AI)Not measured96.4%Only Gemini 3.1 Pro Preview measured
MedCode (Vals AI)Not measured59.1%Only Gemini 3.1 Pro Preview measured
SimpleQA VerifiedNot measured73.5%Only Gemini 3.1 Pro Preview measured
LMArena Text: science12521497Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare12381486Gemini 3.1 Pro Preview
LMArena Text: legal and government12681487Gemini 3.1 Pro Preview
LMArena Text: business and finance12151459Gemini 3.1 Pro Preview
FACTS Benchmark SuiteNot measured67.4%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, none shared
Web design benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
Design Arena: websitesNot measured1234Only Gemini 3.1 Pro Preview measured
Design Arena: UI componentsNot measured1227Only Gemini 3.1 Pro Preview measured
Design Arena: game devNot measured1203Only Gemini 3.1 Pro Preview measured
Design Arena: data vizNot measured1209Only Gemini 3.1 Pro Preview measured
Design Arena: 3DNot measured1234Only Gemini 3.1 Pro Preview measured
Design Arena: all code categoriesNot measured1231Only Gemini 3.1 Pro Preview measured
Design Arena: SVGNot measured1285Only Gemini 3.1 Pro Preview measured
Design Arena: ASCII artNot measured1270Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
Public Benefits Bench (Vals AI)Not measured53.8%Only Gemini 3.1 Pro Preview measured
SAGE (Vals AI)Not measured48.7%Only Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)Not measured76.1%Only Gemini 3.1 Pro Preview measured
Vals Multimodal IndexNot measured56.1%Only Gemini 3.1 Pro Preview measured
IFBenchNot measured77.1%Only Gemini 3.1 Pro Preview measured
Long context reasoning (AA-LCR)Not measured82.0%Only Gemini 3.1 Pro Preview measured
DTBenchNot measured97.1%Only Gemini 3.1 Pro Preview measured
LMCANot measured53.8%Only Gemini 3.1 Pro Preview measured
CL-benchNot measured20.8%Only Gemini 3.1 Pro Preview measured
Furniture assemblyNot measured26.7%Only Gemini 3.1 Pro Preview measured
ExploitBenchNot measured26.1%Only Gemini 3.1 Pro Preview measured
CL-bench LifeNot measured16.9%Only Gemini 3.1 Pro Preview measured
LMArena Text12291480Gemini 3.1 Pro Preview
LMArena Text: instruction following11971466Gemini 3.1 Pro Preview
LMArena Text: creative writing12341482Gemini 3.1 Pro Preview
LMArena VisionNot measured1296Only Gemini 3.1 Pro Preview measured
LMArena Text: English12381478Gemini 3.1 Pro Preview
LMArena Text: non-English12161476Gemini 3.1 Pro Preview
LMArena Text: Chinese12271527Gemini 3.1 Pro Preview
LMArena Text: German12161490Gemini 3.1 Pro Preview
LMArena Text: Japanese11661491Gemini 3.1 Pro Preview
LMArena Text: Korean11621455Gemini 3.1 Pro Preview
LMArena Text: FrenchNot measured1487Only Gemini 3.1 Pro Preview measured
LMArena Text: SpanishNot measured1481Only Gemini 3.1 Pro Preview measured
LMArena Text: Russian12271497Gemini 3.1 Pro Preview
LMArena Text: PolishNot measured1498Only Gemini 3.1 Pro Preview measured
LMArena Text: multi-turn12131487Gemini 3.1 Pro Preview
LMArena Text: longer queries12301482Gemini 3.1 Pro Preview
LMArena Text: writing and language12411481Gemini 3.1 Pro Preview
LMArena Text: entertainment and media12231465Gemini 3.1 Pro Preview
LMArena Vision: EnglishNot measured1287Only Gemini 3.1 Pro Preview measured
LMArena Vision: ChineseNot measured1364Only Gemini 3.1 Pro Preview measured
LMArena Vision: reading textNot measured1304Only Gemini 3.1 Pro Preview measured
LMArena Vision: humorNot measured1322Only Gemini 3.1 Pro Preview measured
LMArena Vision: captioningNot measured1345Only Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing thingsNot measured1330Only Gemini 3.1 Pro Preview measured
LMArena Vision: creative writingNot measured1324Only Gemini 3.1 Pro Preview measured
LMArena DocumentNot measured1444Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command R (08-2024) and Gemini 3.1 Pro Preview
BenchmarkCommand R (08-2024)Gemini 3.1 Pro PreviewLeader
Neither model has a result on 5 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 R (08-2024)$0.0004Fits in one request
Gemini 3.1 Pro Preview$0.0080Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
Gemini 3.1 Pro Preview$0.136Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
Gemini 3.1 Pro Preview$0.520Fits in one request

Command R (08-2024) 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.

Specifications of Command R (08-2024) and Gemini 3.1 Pro Preview
SpecificationCohere Command R (08-2024)Google Gemini 3.1 Pro Preview
MakerCohereGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024February 19, 2026
Context window128K1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.60$12.00
Coding indexNot benchmarked32.3
Independent measurements behind it04
Cost per solved taskNot computable$0.99
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) 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 R (08-2024) has none, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 20.0x cheaper ($0.60 vs $12.00 per million).

Which is cheaper, Command R (08-2024) or Gemini 3.1 Pro Preview?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 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 R (08-2024) or Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview, with 1.05M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Gemini 3.1 Pro Preview comparison based on?

25 benchmarks have a result for both models as of October 21, 2026. Command R (08-2024)'s coding index rests on 0 independent benchmarks and Gemini 3.1 Pro Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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