Noometry

Model comparison

Claude Opus 4.8 vs Command A

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #13 Confirmed

Command A Cohere

36.5

Rank #215 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.8 scores higher in 9 categories and Command A in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.8 leads 64.7 to 18.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 88.8% for Claude Opus 4.8 and 28.8% for Command A.
  • Command A is cheaper at $2.50 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Command A
ProviderAnthropicCohere
Noometry Index60.736.5
Released2026-05-282025-03-13
WeightsProprietaryOpen
Context window1M256K
Max output128K8K
Input $ / M tokens$5$2.50
Output $ / M tokens$25$10
Results tracked6524

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 59.9 (#12), Command A: 27.2 (#322)

BenchmarkClaude Opus 4.8Command A
LMArena Coding14901330
DeepSWE59%—
FrontierCode46.5%—
Aider Polyglot—12%
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—
WeirdML82.9%—
ALE-Bench1,564—

Agentic & Tool Use Claude Opus 4.8 leads

Claude Opus 4.8: 47.6 (#11), Command A: 35.9 (#40)

BenchmarkClaude Opus 4.8Command A
APEX-Agents48.9%—
Berkeley Function Calling Leaderboard—57.1%
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
DeepResearch Bench50.2%—
PostTrainBench33.8%—
GBAEval70.9%—
GDP.pdf24%—
LMArena Search1204—
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.7 (#16), Command A: 18.3 (#283)

BenchmarkClaude Opus 4.8Command A
Kagi LLM Benchmark88.8%28.8%
LMArena Hard Prompts14821326
DTBench94.9%61.3%
LMCA57.5%10.3%
ARC-AGI-272.1%—
SimpleBench64.8%—
NYT Connections (extended)91.1%—
ARC-AGI-192.5%—
CritPt20.9%—
Chess Puzzles34%—
EnigmaEval23.5%—
EBR-Bench28.6%—
Mystery Game Puzzles36%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—
Epoch Capabilities Index158.21—
ForecastBench59.9—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), Command A: 36.2 (#171)

BenchmarkClaude Opus 4.8Command A
LMArena Math14871300
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench69%—
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), Command A: 37.1 (#159)

BenchmarkClaude Opus 4.8Command A
LMArena Expert15021295
GPQA Diamond91%—
SimpleQA Verified53%—
Vectara Hallucination Rate—9.3%

Multimodal Not comparable

Claude Opus 4.8: 42.9 (#26), Command A: —

BenchmarkClaude Opus 4.8Command A
LMArena Vision1294—
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.2 (#33), Command A: 45.3 (#170)

BenchmarkClaude Opus 4.8Command A
LMArena Non-English14501313
LMArena Chinese15071327
LMArena French14811351
LMArena German14721341
LMArena Japanese14401285
LMArena Korean14321285
LMArena Russian14741314
LMArena Spanish14661347

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.4 (#24), Command A: 69.1 (#177)

BenchmarkClaude Opus 4.8Command A
LMArena Instruction Following14761309

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#35), Command A: 40.6 (#151)

BenchmarkClaude Opus 4.8Command A
LMArena Longer Query14831334

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), Command A: 47.6 (#208)

BenchmarkClaude Opus 4.8Command A
LMArena Text14611331
LMArena Creative Writing14541319
EQ-Bench Creative Writing18401145
LMArena Multi-Turn14761339
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than Command A?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.8 or Command A?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or Command A better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 27.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 256K.

How many benchmarks do Claude Opus 4.8 and Command A share?

21 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Command A has 24.

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