Noometry

Model comparison

Claude Opus 4.7 vs Command A

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Command A Cohere

36.5

Rank #215 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 53.8 to 18.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 80.7% for Claude Opus 4.7 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 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7Command A
ProviderAnthropicCohere
Noometry Index58.336.5
Released2026-04-142025-03-13
WeightsProprietaryOpen
Context window1M256K
Max output128K8K
Input $ / M tokens$5$2.50
Output $ / M tokens$25$10
Results tracked6624

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Command A: 27.2 (#322)

BenchmarkClaude Opus 4.7Command A
LMArena Coding15181330
SWE-bench Verified83.5%—
FrontierCode38.5%—
Aider Polyglot—12%
LMArena WebDev1558—
SciCode54.5%—
GSO44.1%—
WeirdML76.4%—
MirrorCode31.1%—
ALE-Bench1,323—

Agentic & Tool Use Claude Opus 4.7 leads

Claude Opus 4.7: 47.9 (#10), Command A: 35.9 (#40)

BenchmarkClaude Opus 4.7Command A
Terminal-Bench80.2%—
APEX-Agents49.2%—
Berkeley Function Calling Leaderboard—57.1%
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.8 (#29), Command A: 18.3 (#283)

BenchmarkClaude Opus 4.7Command A
Kagi LLM Benchmark80.7%28.8%
LMArena Hard Prompts15061326
DTBench94.7%61.3%
LMCA52.2%10.3%
ARC-AGI-275.8%—
SimpleBench61.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
CritPt12%—
Chess Puzzles30%—
Thematic Generalization72.8%—
EBR-Bench19%—
Mystery Game Puzzles28%—
Epoch Capabilities Index156.25—
ForecastBench60.3—

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Command A: 36.2 (#171)

BenchmarkClaude Opus 4.7Command A
LMArena Math14991300
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
OTIS Mock AIME 2024-202597.8%—
ProofBench54%—
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#23), Command A: 37.1 (#159)

BenchmarkClaude Opus 4.7Command A
Vectara Hallucination Rate12%9.3%
LMArena Expert15211295
GPQA Diamond90.2%—
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Command A: —

BenchmarkClaude Opus 4.7Command A
LMArena Vision1316—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Command A: 45.3 (#170)

BenchmarkClaude Opus 4.7Command A
LMArena Non-English14801313
LMArena Chinese15311327
LMArena French15031351
LMArena German14951341
LMArena Japanese14721285
LMArena Korean14641285
LMArena Russian14941314
LMArena Spanish14951347

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Command A: 69.1 (#177)

BenchmarkClaude Opus 4.7Command A
LMArena Instruction Following14981309

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Command A: 40.6 (#151)

BenchmarkClaude Opus 4.7Command A
LMArena Longer Query15051334

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Command A: 47.6 (#208)

BenchmarkClaude Opus 4.7Command A
LMArena Text14901331
LMArena Creative Writing14861319
EQ-Bench Creative Writing19141145
LMArena Multi-Turn15051339
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Command A?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.7 or Command A?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Command A better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 27.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 256K.

How many benchmarks do Claude Opus 4.7 and Command A share?

22 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Command A has 24.

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