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Command R (08-2024) vs GPT-5.4 Mini

Command R (08-2024) costs 7.5x less per output token than GPT-5.4 Mini ($0.60 vs $4.50 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Replace Command R (08-2024) Replace GPT-5.4 Mini
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
25
vs boards won of 25 shared

Command R (08-2024) or GPT-5.4 Mini: which to pick

Only GPT-5.4 Mini has a coding score, 35.8 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 7.5x cheaper ($0.60 vs $4.50 per million).

Model ACommand R (08-2024)CohereNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task
Shared results
25
Command R (08-2024) only
0
GPT-5.4 Mini only
64
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, GPT-5.4 Mini 35.8 from 5 benchmarks.
Widest category
Coding, 40.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: expert: Command R (08-2024) 1173 against GPT-5.4 Mini 1435, 43.6 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against GPT-5.4 Mini $4.50 per million output tokens, 7.5x apart.
Context window
Command R (08-2024) takes 128K tokens, GPT-5.4 Mini 400K.

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)BarsGPT-5.4 MiniTies
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 GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
LMArena WebDevNot measured1397Only GPT-5.4 Mini measured
AA Coding IndexNot measured56.1Only GPT-5.4 Mini measured
LiveCodeBench (Vals AI)Not measured81.5%Only GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)Not measured73.0%Only GPT-5.4 Mini measured
Terminal-Bench 4 (Vals AI)Not measured2.5%Only GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)Not measured48.0%Only GPT-5.4 Mini measured
Code migration (Vals AI)Not measured12.9%Only GPT-5.4 Mini measured
ProgramBench (Vals AI)Not measured0.0%Only GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)Not measured54.7%Only GPT-5.4 Mini measured
SciCodeNot measured52.1%Only GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured52.3%Only GPT-5.4 Mini measured
FrontierCodeNot measured27.0%Only GPT-5.4 Mini measured
WeirdMLNot measured60.3%Only GPT-5.4 Mini measured
ALE-BenchNot measured1188.6Only GPT-5.4 Mini measured
LMArena Text: coding11871438GPT-5.4 Mini
LMArena Text: software and IT11971436GPT-5.4 Mini
LMArena WebDev: ReactNot measured1386Only GPT-5.4 Mini measured
LMArena WebDev: HTMLNot measured1419Only GPT-5.4 Mini measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
AA Intelligence IndexNot measured24.1Only GPT-5.4 Mini measured
Epoch Capabilities IndexNot measured148.7Only GPT-5.4 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
AA Agentic IndexNot measured17.9Only GPT-5.4 Mini measured
Finance Agent (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)Not measured8.8%Only GPT-5.4 Mini measured
Legal Research Bench (Vals AI)Not measured12.5%Only GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
τ²-Bench TelecomNot measured83.3%Only GPT-5.4 Mini measured
DeepResearch BenchNot measured36.3%Only GPT-5.4 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
GPQA DiamondNot measured83.1%Only GPT-5.4 Mini measured
MMMU Pro (Vals AI)Not measured79.3%Only GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)Not measured87.5%Only GPT-5.4 Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured28.1%Only GPT-5.4 Mini measured
GPQA Diamond (Epoch AI run)Not measured86.9%Only GPT-5.4 Mini measured
ARC-AGINot measured63.7%Only GPT-5.4 Mini measured
ARC-AGI-2Not measured18.9%Only GPT-5.4 Mini measured
Chess puzzlesNot measured23.0%Only GPT-5.4 Mini measured
Mystery game puzzlesNot measured11.0%Only GPT-5.4 Mini measured
LMArena Text: hard prompts11861424GPT-5.4 Mini
LMArena Text: expert11731435GPT-5.4 Mini
LMArena Text: hard prompts in English11941420GPT-5.4 Mini
LMArena Vision: diagramsNot measured1266Only GPT-5.4 Mini measured
LMArena Vision: homeworkNot measured1285Only GPT-5.4 Mini measured
Kagi LLM BenchmarkNot measured37.9%Only GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
AIMENot measured95.6%Only GPT-5.4 Mini measured
OTIS Mock AIMENot measured88.9%Only GPT-5.4 Mini measured
FrontierMath, tiers 1 to 3Not measured51.2%Only GPT-5.4 Mini measured
FrontierMath, tier 4Not measured9.8%Only GPT-5.4 Mini measured
ProofBenchNot measured21.0%Only GPT-5.4 Mini measured
LMArena Text: math11881418GPT-5.4 Mini
LMArena Text: mathematical work11981429GPT-5.4 Mini
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 GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
MMLU ProNot measured84.5%Only GPT-5.4 Mini measured
CaseLaw (Vals AI)Not measured51.7%Only GPT-5.4 Mini measured
CorpFin (Vals AI)Not measured60.9%Only GPT-5.4 Mini measured
TaxEval (Vals AI)Not measured71.2%Only GPT-5.4 Mini measured
MortgageTax (Vals AI)Not measured63.5%Only GPT-5.4 Mini measured
SimpleQA VerifiedNot measured29.4%Only GPT-5.4 Mini measured
LMArena Text: science12521417GPT-5.4 Mini
LMArena Text: medicine and healthcare12381395GPT-5.4 Mini
LMArena Text: legal and government12681414GPT-5.4 Mini
LMArena Text: business and finance12151418GPT-5.4 Mini
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
SAGE (Vals AI)Not measured50.8%Only GPT-5.4 Mini measured
Vals Multimodal IndexNot measured54.2%Only GPT-5.4 Mini measured
IFBenchNot measured73.3%Only GPT-5.4 Mini measured
Long context reasoning (AA-LCR)Not measured77.0%Only GPT-5.4 Mini measured
DTBenchNot measured80.0%Only GPT-5.4 Mini measured
LMCANot measured40.8%Only GPT-5.4 Mini measured
LMArena Text12291412GPT-5.4 Mini
LMArena Text: instruction following11971405GPT-5.4 Mini
LMArena Text: creative writing12341370GPT-5.4 Mini
LMArena VisionNot measured1245Only GPT-5.4 Mini measured
LMArena Text: English12381412GPT-5.4 Mini
LMArena Text: non-English12161405GPT-5.4 Mini
LMArena Text: Chinese12271446GPT-5.4 Mini
LMArena Text: German12161408GPT-5.4 Mini
LMArena Text: Japanese11661375GPT-5.4 Mini
LMArena Text: Korean11621370GPT-5.4 Mini
LMArena Text: FrenchNot measured1441Only GPT-5.4 Mini measured
LMArena Text: SpanishNot measured1405Only GPT-5.4 Mini measured
LMArena Text: Russian12271417GPT-5.4 Mini
LMArena Text: PolishNot measured1415Only GPT-5.4 Mini measured
LMArena Text: multi-turn12131429GPT-5.4 Mini
LMArena Text: longer queries12301408GPT-5.4 Mini
LMArena Text: writing and language12411393GPT-5.4 Mini
LMArena Text: entertainment and media12231373GPT-5.4 Mini
LMArena Vision: EnglishNot measured1244Only GPT-5.4 Mini measured
LMArena Vision: ChineseNot measured1286Only GPT-5.4 Mini measured
LMArena Vision: reading textNot measured1253Only GPT-5.4 Mini measured
LMArena Vision: humorNot measured1235Only GPT-5.4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only GPT-5.4 Mini measured
LMArena Vision: creative writingNot measured1222Only GPT-5.4 Mini measured
Neither model has a result on the other 16 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 GPT-5.4 Mini
BenchmarkCommand R (08-2024)GPT-5.4 MiniLeader
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
GPT-5.4 Mini$0.0030Fits 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
GPT-5.4 Mini$0.051Fits 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
GPT-5.4 Mini$0.195Fits 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 GPT-5.4 Mini
SpecificationCohere Command R (08-2024)OpenAI GPT-5.4 Mini
MakerCohereOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024March 17, 2026
Context window128K400K
Input $/Mtok$0.15$0.75
Output $/Mtok$0.60$4.50
Coding indexNot benchmarked35.8
Independent measurements behind it05
Cost per solved taskNot computable$0.70
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than GPT-5.4 Mini for coding?

Only GPT-5.4 Mini has a coding score, 35.8 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 7.5x cheaper ($0.60 vs $4.50 per million).

Which is cheaper, Command R (08-2024) or GPT-5.4 Mini?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Cost per solved task is known for GPT-5.4 Mini only.

Which has the bigger context window, Command R (08-2024) or GPT-5.4 Mini?

GPT-5.4 Mini, with 400K tokens against 128K.

How many benchmarks is the Command R (08-2024) vs GPT-5.4 Mini 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 GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.

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