Enter opens the highlighted result. Esc closes.

Command R (08-2024) vs Gemini 4 Argon

Updated October 21, 2026. 22 benchmarks have a result for both. 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
$0.60
0
Gemini 4 ArgonGoogle
Coding
81.0
Overall
52.6
Output $/M
$10.00
22
vs boards won of 22 shared

Decision reading

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Command R (08-2024) has the edge where output tokens cost 16.7x less.

Shared results
22
Command R (08-2024) only
3
Gemini 4 Argon only
70
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4 Argon 81.0 from 5 benchmarks.
Widest category
Reasoning, 60.6 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Command R (08-2024) 1173 against Gemini 4 Argon 1550, 62.8 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against Gemini 4 Argon $10.00 per million output tokens, 16.7x apart.
Context window
Command R (08-2024) takes 128K tokens, Gemini 4 Argon 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 4 ArgonTies
Coding02
Reasoning03
Math02
Knowledge04
General011
All shared boards022
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
LiveBench codingNot measured89.7%Only Gemini 4 Argon measured
LMArena WebDevNot measured1678Only Gemini 4 Argon measured
Terminal-Bench 4 (Vals AI)Not measured57.6%Only Gemini 4 Argon measured
Vibe Code Bench (Vals AI)Not measured91.9%Only Gemini 4 Argon measured
Code migration (Vals AI)Not measured68.2%Only Gemini 4 Argon measured
ProgramBench (Vals AI)Not measured2.5%Only Gemini 4 Argon measured
IOI (Vals AI)Not measured100.0%Only Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)Not measured57.7%Only Gemini 4 Argon measured
SWE-bench Multimodal (Vals AI)Not measured56.0%Only Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)Not measured21.2%Only Gemini 4 Argon measured
CyberBench (Vals AI)Not measured77.9%Only Gemini 4 Argon measured
SciCodeNot measured61.8%Only Gemini 4 Argon measured
FrontierCodeNot measured47.5%Only Gemini 4 Argon measured
FrontierSWENot measured55.0%Only Gemini 4 Argon measured
ALE-BenchNot measured2100.1Only Gemini 4 Argon measured
LMArena Text: coding11871546Gemini 4 Argon
LMArena Text: software and IT11971556Gemini 4 Argon
LMArena WebDev: ReactNot measured1692Only Gemini 4 Argon measured
LMArena WebDev: HTMLNot measured1643Only Gemini 4 Argon measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
AA Intelligence IndexNot measured52.6Only Gemini 4 Argon measured
Epoch Capabilities IndexNot measured166.4Only Gemini 4 Argon measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
Design Arena: spreadsheetsNot measured1147Only Gemini 4 Argon measured
LiveBench researchNot measured83.1%Only Gemini 4 Argon measured
LiveBench browserNot measured92.0%Only Gemini 4 Argon measured
LiveBench long agenticNot measured69.9%Only Gemini 4 Argon measured
SREBench (Vals AI)Not measured44.3%Only Gemini 4 Argon measured
Finance Agent (Vals AI)Not measured65.4%Only Gemini 4 Argon measured
Tax Agent Bench (Vals AI)Not measured44.6%Only Gemini 4 Argon measured
Legal Research Bench (Vals AI)Not measured54.8%Only Gemini 4 Argon measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured27.1%Only Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)Not measured75.2%Only Gemini 4 Argon measured
BioMysteryBench (Vals AI)Not measured76.3%Only Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)Not measured44.3%Only Gemini 4 Argon measured
Vals Science IndexNot measured55.4%Only Gemini 4 Argon measured
Time Horizon Index (Vals AI)Not measured52.5%Only Gemini 4 Argon measured
CUA-bench (Vals AI)Not measured4.8%Only Gemini 4 Argon measured
Robo-bench (Vals AI)Not measured0.8%Only Gemini 4 Argon measured
APEX-AgentsNot measured82.4%Only Gemini 4 Argon measured
Vending-Bench 2Not measured$13,718Only Gemini 4 Argon measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
LiveBench reasoningNot measured95.1%Only Gemini 4 Argon measured
MysteryMechanism (Vals AI)Not measured45.5%Only Gemini 4 Argon measured
Humanity's Last Exam (Artificial Analysis run)Not measured57.1%Only Gemini 4 Argon measured
GPQA Diamond (Epoch AI run)Not measured96.4%Only Gemini 4 Argon measured
ARC-AGINot measured98.5%Only Gemini 4 Argon measured
ARC-AGI-2Not measured91.3%Only Gemini 4 Argon measured
Chess puzzlesNot measured59.0%Only Gemini 4 Argon measured
Mystery game puzzlesNot measured64.0%Only Gemini 4 Argon measured
EBR-benchNot measured64.8%Only Gemini 4 Argon measured
LMArena Text: hard prompts11861546Gemini 4 Argon
LMArena Text: expert11731550Gemini 4 Argon
LMArena Text: hard prompts in English11941548Gemini 4 Argon
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
OTIS Mock AIMENot measured100.0%Only Gemini 4 Argon measured
FrontierMath, tiers 1 to 3Not measured86.0%Only Gemini 4 Argon measured
FrontierMath, tier 4Not measured78.0%Only Gemini 4 Argon measured
ProofBenchNot measured99.0%Only Gemini 4 Argon measured
LMArena Text: math11881536Gemini 4 Argon
LMArena Text: mathematical work11981557Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
LegalBench (Vals AI)Not measured88.3%Only Gemini 4 Argon measured
MedCode (Vals AI)Not measured58.8%Only Gemini 4 Argon measured
SimpleQA VerifiedNot measured76.0%Only Gemini 4 Argon measured
LMArena Text: science12521548Gemini 4 Argon
LMArena Text: medicine and healthcare12381555Gemini 4 Argon
LMArena Text: legal and government12681548Gemini 4 Argon
LMArena Text: business and finance12151525Gemini 4 Argon
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
Design Arena: websitesNot measured1315Only Gemini 4 Argon measured
Design Arena: UI componentsNot measured1331Only Gemini 4 Argon measured
Design Arena: game devNot measured1376Only Gemini 4 Argon measured
Design Arena: data vizNot measured1337Only Gemini 4 Argon measured
Design Arena: 3DNot measured1389Only Gemini 4 Argon measured
Design Arena: all code categoriesNot measured1328Only Gemini 4 Argon measured
LiveBench designNot measured73.7%Only Gemini 4 Argon measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index011
General benchmarks for Command R (08-2024) and Gemini 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
Vals IndexNot measured69.2%Only Gemini 4 Argon measured
LiveBench data analysisNot measured85.2%Only Gemini 4 Argon measured
Public Benefits Bench (Vals AI)Not measured69.8%Only Gemini 4 Argon measured
SAGE (Vals AI)Not measured53.6%Only Gemini 4 Argon measured
MedScribe (Vals AI)Not measured87.4%Only Gemini 4 Argon measured
Long context reasoning (AA-LCR)Not measured79.7%Only Gemini 4 Argon measured
DTBenchNot measured97.6%Only Gemini 4 Argon measured
LMCANot measured63.7%Only Gemini 4 Argon measured
Furniture assemblyNot measured72.5%Only Gemini 4 Argon measured
LMArena Text12291532Gemini 4 Argon
LMArena Text: instruction following11971534Gemini 4 Argon
LMArena Text: creative writing12341527Gemini 4 Argon
LMArena Text: English12381538Gemini 4 Argon
LMArena Text: non-English12161522Gemini 4 Argon
LMArena Text: Chinese12271611Gemini 4 Argon
LMArena Text: German1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Japanese1166Not measuredOnly Command R (08-2024) measured
LMArena Text: Korean1162Not measuredOnly Command R (08-2024) measured
LMArena Text: SpanishNot measured1503Only Gemini 4 Argon measured
LMArena Text: Russian12271534Gemini 4 Argon
LMArena Text: multi-turn12131556Gemini 4 Argon
LMArena Text: longer queries12301547Gemini 4 Argon
LMArena Text: writing and language12411529Gemini 4 Argon
LMArena Text: entertainment and media12231527Gemini 4 Argon
Neither model has a result on the other 22 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 4 Argon
BenchmarkCommand R (08-2024)Gemini 4 ArgonLeader
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 4 Argon$0.0070Fits 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 4 Argon$0.130Fits 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 4 Argon$0.500Fits 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 4 Argon
SpecificationCohere Command R (08-2024)Google Gemini 4 Argon
MakerCohereGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024October 13, 2026
Context window128K1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.60$10.00
Coding indexNot benchmarked81.0
Independent measurements behind it05
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than Gemini 4 Argon for coding?

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Command R (08-2024) has the edge where output tokens cost 16.7x less.

Which is cheaper, Command R (08-2024) or Gemini 4 Argon?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Gemini 4 Argon costs $2.00 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or Gemini 4 Argon?

Gemini 4 Argon, with 1.05M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Gemini 4 Argon comparison based on?

22 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 4 Argon's on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next