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Command R+ (08-2024) vs Gemini 3.7 Flash

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Command R+ (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$10.00
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
39.6
Output $/M
$3.75
vs $10.00 vs $3.75 per 1M output tokens. Gemini 3.7 Flash is 2.7x cheaper.

Decision reading

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Command R+ (08-2024) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Command R+ (08-2024) has none yet; Gemini 3.7 Flash on LiveBench coding, LMArena WebDev and AA Coding Index. 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.

At a glance

Coding index
Command R+ (08-2024) not benchmarked, Gemini 3.7 Flash 58.0 from 6 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 R+ (08-2024) $10.00 against Gemini 3.7 Flash $3.75 per million output tokens, 2.7x apart.
Context window
Command R+ (08-2024) takes 128K tokens, Gemini 3.7 Flash 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 Index22 boards measured
Coding benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
LiveBench codingNot measured80.5%Only Gemini 3.7 Flash measured
LMArena WebDevNot measured1591Only Gemini 3.7 Flash measured
AA Coding IndexNot measured71.5Only Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)Not measured88.7%Only Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)Not measured80.8%Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)Not measured12.1%Only Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Gemini 3.7 Flash measured
Code migration (Vals AI)Not measured34.8%Only Gemini 3.7 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.7 Flash measured
IOI (Vals AI)Not measured67.8%Only Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured77.5%Only Gemini 3.7 Flash measured
SkillsBench (Vals AI)Not measured65.9%Only Gemini 3.7 Flash measured
CyberBench (Vals AI)Not measured43.8%Only Gemini 3.7 Flash measured
SciCodeNot measured59.8%Only Gemini 3.7 Flash measured
FrontierCodeNot measured43.6%Only Gemini 3.7 Flash measured
FrontierSWENot measured20.3%Only Gemini 3.7 Flash measured
ALE-BenchNot measured904.3Only Gemini 3.7 Flash measured
LMArena Text: codingNot measured1499Only Gemini 3.7 Flash measured
LMArena Text: software and ITNot measured1498Only Gemini 3.7 Flash measured
LMArena WebDev: ReactNot measured1587Only Gemini 3.7 Flash measured
LMArena WebDev: HTMLNot measured1593Only Gemini 3.7 Flash measured
LMArena WebDev: from an imageNot measured1599Only Gemini 3.7 Flash measured
Neither model has a result on the other 16 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
AA Intelligence IndexNot measured39.6Only Gemini 3.7 Flash measured
Epoch Capabilities IndexNot measured158.0Only Gemini 3.7 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
Agentic work benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
Design Arena: agents building web appsNot measured1223Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack appsNot measured1208Only Gemini 3.7 Flash measured
Design Arena: agents building mobile appsNot measured1232Only Gemini 3.7 Flash measured
Design Arena: agents building Android appsNot measured1248Only Gemini 3.7 Flash measured
Design Arena: agents building Godot gamesNot measured1264Only Gemini 3.7 Flash measured
Design Arena: agents building gamesNot measured1235Only Gemini 3.7 Flash measured
Design Arena: spreadsheetsNot measured1022Only Gemini 3.7 Flash measured
LiveBench researchNot measured76.5%Only Gemini 3.7 Flash measured
LiveBench browserNot measured56.0%Only Gemini 3.7 Flash measured
LiveBench long agenticNot measured28.3%Only Gemini 3.7 Flash measured
SREBench (Vals AI)Not measured4.6%Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)Not measured59.0%Only Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)Not measured22.8%Only Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)Not measured34.6%Only Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured71.3%Only Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)Not measured7.1%Only Gemini 3.7 Flash measured
APEX-AgentsNot measured67.8%Only Gemini 3.7 Flash measured
Remote Labor IndexNot measured5.0%Only Gemini 3.7 Flash measured
Neither model has a result on the other 21 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards measured
Reasoning benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
GPQA DiamondNot measured93.9%Only Gemini 3.7 Flash measured
LiveBench reasoningNot measured87.8%Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)Not measured89.0%Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured94.5%Only Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured47.9%Only Gemini 3.7 Flash measured
GPQA Diamond (Epoch AI run)Not measured94.8%Only Gemini 3.7 Flash measured
ARC-AGINot measured95.5%Only Gemini 3.7 Flash measured
ARC-AGI-2Not measured84.6%Only Gemini 3.7 Flash measured
Chess puzzlesNot measured66.0%Only Gemini 3.7 Flash measured
Mystery game puzzlesNot measured37.0%Only Gemini 3.7 Flash measured
LMArena Text: hard promptsNot measured1495Only Gemini 3.7 Flash measured
LMArena Text: expertNot measured1512Only Gemini 3.7 Flash measured
LMArena Text: hard prompts in EnglishNot measured1487Only Gemini 3.7 Flash measured
LMArena Vision: diagramsNot measured1329Only Gemini 3.7 Flash measured
LMArena Vision: homeworkNot measured1320Only Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
OTIS Mock AIMENot measured97.2%Only Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 3Not measured71.6%Only Gemini 3.7 Flash measured
FrontierMath, tier 4Not measured36.6%Only Gemini 3.7 Flash measured
ProofBenchNot measured58.0%Only Gemini 3.7 Flash measured
LMArena Text: mathNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: mathematical workNot measured1502Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Knowledge benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
MMLU ProNot measured90.1%Only Gemini 3.7 Flash measured
LegalBench (Vals AI)Not measured87.3%Only Gemini 3.7 Flash measured
TaxEval (Vals AI)Not measured74.7%Only Gemini 3.7 Flash measured
MortgageTax (Vals AI)Not measured66.7%Only Gemini 3.7 Flash measured
MedCode (Vals AI)Not measured53.4%Only Gemini 3.7 Flash measured
SimpleQA VerifiedNot measured69.2%Only Gemini 3.7 Flash measured
LMArena Text: scienceNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: medicine and healthcareNot measured1494Only Gemini 3.7 Flash measured
LMArena Text: legal and governmentNot measured1496Only Gemini 3.7 Flash measured
LMArena Text: business and financeNot measured1479Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Web design benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
Design Arena: websitesNot measured1304Only Gemini 3.7 Flash measured
Design Arena: UI componentsNot measured1299Only Gemini 3.7 Flash measured
Design Arena: game devNot measured1318Only Gemini 3.7 Flash measured
Design Arena: data vizNot measured1314Only Gemini 3.7 Flash measured
Design Arena: 3DNot measured1308Only Gemini 3.7 Flash measured
Design Arena: all code categoriesNot measured1308Only Gemini 3.7 Flash measured
Design Arena: SVGNot measured1283Only Gemini 3.7 Flash measured
Design Arena: ASCII artNot measured1276Only Gemini 3.7 Flash measured
LiveBench designNot measured73.2%Only Gemini 3.7 Flash measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards measured
General benchmarks for Command R+ (08-2024) and Gemini 3.7 Flash
BenchmarkCommand R+ (08-2024)Gemini 3.7 FlashLeader
LiveBench data analysisNot measured68.0%Only Gemini 3.7 Flash measured
SAGE (Vals AI)Not measured49.2%Only Gemini 3.7 Flash measured
MedScribe (Vals AI)Not measured83.9%Only Gemini 3.7 Flash measured
Long context reasoning (AA-LCR)Not measured83.0%Only Gemini 3.7 Flash measured
DTBenchNot measured96.8%Only Gemini 3.7 Flash measured
LMCANot measured50.4%Only Gemini 3.7 Flash measured
Furniture assemblyNot measured26.7%Only Gemini 3.7 Flash measured
LMArena TextNot measured1489Only Gemini 3.7 Flash measured
LMArena Text: instruction followingNot measured1484Only Gemini 3.7 Flash measured
LMArena Text: creative writingNot measured1488Only Gemini 3.7 Flash measured
LMArena VisionNot measured1314Only Gemini 3.7 Flash measured
LMArena Text: EnglishNot measured1483Only Gemini 3.7 Flash measured
LMArena Text: non-EnglishNot measured1487Only Gemini 3.7 Flash measured
LMArena Text: ChineseNot measured1552Only Gemini 3.7 Flash measured
LMArena Text: GermanNot measured1506Only Gemini 3.7 Flash measured
LMArena Text: JapaneseNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: KoreanNot measured1481Only Gemini 3.7 Flash measured
LMArena Text: FrenchNot measured1500Only Gemini 3.7 Flash measured
LMArena Text: SpanishNot measured1495Only Gemini 3.7 Flash measured
LMArena Text: RussianNot measured1515Only Gemini 3.7 Flash measured
LMArena Text: PolishNot measured1503Only Gemini 3.7 Flash measured
LMArena Text: multi-turnNot measured1485Only Gemini 3.7 Flash measured
LMArena Text: longer queriesNot measured1492Only Gemini 3.7 Flash measured
LMArena Text: writing and languageNot measured1491Only Gemini 3.7 Flash measured
LMArena Text: entertainment and mediaNot measured1477Only Gemini 3.7 Flash measured
LMArena Vision: EnglishNot measured1309Only Gemini 3.7 Flash measured
LMArena Vision: ChineseNot measured1394Only Gemini 3.7 Flash measured
LMArena Vision: reading textNot measured1322Only Gemini 3.7 Flash measured
LMArena Vision: humorNot measured1299Only Gemini 3.7 Flash measured
LMArena Vision: creative writingNot measured1312Only Gemini 3.7 Flash measured
Neither model has a result on the other 16 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)$0.0075Fits in one request
Gemini 3.7 Flash$0.0026Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Command R+ (08-2024)$0.155Fits in one request
Gemini 3.7 Flash$0.049Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Command R+ (08-2024)$0.600Exceeds the context window
Gemini 3.7 Flash$0.188Fits in one request

Gemini 3.7 Flash 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 3.7 Flash
SpecificationCohere Command R+ (08-2024)Google Gemini 3.7 Flash
MakerCohereGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024August 13, 2026
Context window128K1.05M
Input $/Mtok$2.50$0.75
Output $/Mtok$10.00$3.75
Coding indexNot benchmarked58.0
Independent measurements behind it06
Cost per solved taskNot computable$1.78
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R+ (08-2024) better than Gemini 3.7 Flash for coding?

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Command R+ (08-2024) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Command R+ (08-2024) or Gemini 3.7 Flash?

Command R+ (08-2024) costs $2.50 per million input tokens and $10.00 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Command R+ (08-2024) or Gemini 3.7 Flash?

Gemini 3.7 Flash, with 1.05M tokens against 128K.

Has any benchmark tested both Command R+ (08-2024) and Gemini 3.7 Flash?

No benchmark has tested both yet. Command R+ (08-2024) has none yet; Gemini 3.7 Flash on LiveBench coding, LMArena WebDev and AA Coding Index. Compare them on price and context instead. Data as of October 21, 2026.

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