Model comparison

Claude Sonnet 4.5 vs MiniMax-M2.7

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 11× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.0

Rank #76 Confirmed

MiniMax-M2.7 MiniMax

37.4

Rank #188 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 9 categories and MiniMax-M2.7 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where Claude Sonnet 4.5 leads 38.1 to 24.9.
  • The biggest single-benchmark swing is ProofBench: 19% for Claude Sonnet 4.5 and 3% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 1M tokens versus 205K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5 and MiniMax-M2.7 specifications
Claude Sonnet 4.5MiniMax-M2.7
ProviderAnthropicMiniMax
Noometry Index44.037.4
Released2025-09-292026-03-18
WeightsProprietaryOpen
Context window1M205K
Max output64K131K
Input $ / M tokens$3$0.30
Output $ / M tokens$15$1.20
Results tracked7330

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.8 (#54), MiniMax-M2.7: 41.4 (#115)

Coding benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
LMArena WebDev13931397
SciCode44.7%47%
WeirdML47.7%37%
LMArena Coding14891454
ALE-Bench796.15599.25
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
SWE-bench Multilingual67%—
GSO14.7%—
AlgoTune1.52—

Agentic & Tool Use Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 38.1 (#30), MiniMax-M2.7: 24.9 (#103)

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
Terminal-Bench46.5%45.1%
Berkeley Function Calling Leaderboard73.2%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
ExploitBench—13.3%
GBAEval—0%
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#113), MiniMax-M2.7: 19.0 (#248)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
NYT Connections (extended)37.3%24.7%
CritPt1.1%0.6%
LMArena Hard Prompts14621422
Epoch Capabilities Index146.84145.84
ARC-AGI-213.6%—
SimpleBench54.3%—
Kagi LLM Benchmark57.9%—
ARC-AGI-163.7%—
Chess Puzzles12%—
EnigmaEval6%—
Thematic Generalization—39.3%
EBR-Bench2.4%—
Mystery Game Puzzles17%—
DTBench83.2%—
LMCA38.8%—
ForecastBench61.9—

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 31.9 (#190), MiniMax-M2.7: 24.9 (#254)

Math benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
ProofBench19%3%
LMArena Math14481420
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202577.8%—
Omni-MATH55.3%—
MATH Level 597.7%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#70), MiniMax-M2.7: 37.1 (#151)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
Vectara Hallucination Rate12%12.9%
LMArena Expert14831443
GPQA Diamond82.3%—
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
MMLU-Pro86.9%—
GPQA (HELM)68.6%—

Multimodal Not comparable

Claude Sonnet 4.5: 34.1 (#84), MiniMax-M2.7: —

Multimodal benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.6 (#65), MiniMax-M2.7: 50.5 (#120)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
LMArena Non-English14251382
LMArena Chinese14591439
LMArena French14591422
LMArena German14271398
LMArena Japanese13901261
LMArena Korean14031313
LMArena Russian14361383
LMArena Spanish14571403

Instruction Following Too close to call

Claude Sonnet 4.5: 75.2 (#74), MiniMax-M2.7: 74.2 (#101)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
LMArena Instruction Following14591404
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#45), MiniMax-M2.7: 43.3 (#94)

Long Context benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
LMArena Longer Query14761419

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.7 (#33), MiniMax-M2.7: 59.1 (#107)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.5MiniMax-M2.7
LMArena Text14391404
LMArena Creative Writing14421354
LMArena Multi-Turn14651413
EQ-Bench Creative Writing1678—
WildBench85.4%—

Frequently asked questions

Is Claude Sonnet 4.5 better than MiniMax-M2.7?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 11× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.5 or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or MiniMax-M2.7 better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 1M tokens against 205K.

How many benchmarks do Claude Sonnet 4.5 and MiniMax-M2.7 share?

27 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and MiniMax-M2.7 has 30.

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