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Model comparison

Claude Opus 4.7 vs MiniMax M2.7

Data verified

Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

71.63/100
Margin
7.6pts
← winning
64.03/100
0 category wins0 category wins

BenchAlign evidence: Claude Opus 4.7 supported; MiniMax M2.7 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 and MiniMax M2.7 share 16 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Claude Opus 4.7; 21 to MiniMax M2.7.

Updated July 15, 2026
Shared results
16
Claude Opus 4.7 only
6
MiniMax M2.7 only
21
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.7 and MiniMax M2.7 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. Claude Opus 4.7 has the larger context window at 1M, compared with 200K for MiniMax M2.7.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Opus 4.7 and MiniMax M2.7
CategoryClaude Opus 4.7ΔMiniMax M2.7
AgenticClaude Opus 4.7Not measuredMarginNo overlapMiniMax M2.757.0
CodingClaude Opus 4.7Not measuredMarginNo overlapMiniMax M2.753.3
MathClaude Opus 4.738.6MarginNo overlapMiniMax M2.7Not measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Opus 4.7MiniMax M2.7Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.7$5 input / $25 outputMiniMax M2.7$0.3 input / $1.2 outputMiniMax M2.7 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7Not availableMiniMax M2.745 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7Not availableMiniMax M2.72.53 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.71MMiniMax M2.7200KClaude Opus 4.7 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7MiniMax M2.7Result
τ²-bench resultsSource 74%84.8%MiniMax M2.7 leads
Gert LabsSource 65.59%40.40%Claude Opus 4.7 leads
ResearchClawBenchSource 20.7%Not comparable
OSWorld 2.0Source 13.9%Not comparable
Terminal-Bench 2.0Source 57%Not comparable
ToolathlonSource 46.3%Not comparable
MLE-Bench LiteSource 66.6%Not comparable
MM-ClawBenchSource 62.7%Not comparable
Claw-EvalSource 48.7%Not comparable
AA Agentic IndexSource 25.6%Not comparable
APEX-Agents-AASource 10.6%Not comparable
GDPval-AASource 32.9%Not comparable
GDPval-AASource 1158Not comparable
Coding
BenchmarkClaude Opus 4.7MiniMax M2.7Result
Vibe Code BenchSource 71.00%27.04%Claude Opus 4.7 leads
React Native EvalsSource 82.8%71.4%Claude Opus 4.7 leads
Terminal-Bench HardSource 54.5%39.4%Claude Opus 4.7 leads
AA-SciCodeSource 50.1%47.0%Claude Opus 4.7 leads
FrontierCodeSource 38.5%Not comparable
SWE-bench Verified*Source 75.4%Not comparable
SWE-bench ProSource 56.2%Not comparable
SWE-RebenchSource 51.9%Not comparable
SWE MultilingualSource 76.5%Not comparable
Multi-SWE BenchSource 52.7%Not comparable
VIBE-ProSource 55.6%Not comparable
NL2RepoSource 39.8%Not comparable
AA Coding IndexSource 52.6%Not comparable
Reasoning
BenchmarkClaude Opus 4.7MiniMax M2.7Result
AA-LCRSource 67.0%68.7%MiniMax M2.7 leads
CritPtSource 5.1%0.6%Claude Opus 4.7 leads
Knowledge
BenchmarkClaude Opus 4.7MiniMax M2.7Result
Artificial Analysis Intelligence IndexSource 42.7%38.1%Claude Opus 4.7 leads
AA-GPQA DiamondSource 88.5%87.4%Claude Opus 4.7 leads
AA-HLESource 31.2%28.1%Claude Opus 4.7 leads
AA-Omniscience IndexSource 14.2%0.7%Claude Opus 4.7 leads
AA-Omniscience AccuracySource 43.5%26.1%Claude Opus 4.7 leads
AA-Omniscience Hallucination RateSource 51.9%34.4%MiniMax M2.7 leads
GPQA-DSource 87.0%Not comparable
MMLU-Pro (Arcee)Source 80.8%Not comparable
Math
BenchmarkClaude Opus 4.7MiniMax M2.7Result
FrontierMath v2 (Tiers 1-3)Source 43.793%Not comparable
FrontierMath v2 (Tier 4)Source 22.917%Not comparable
AIME25 (Arcee)Source 80.0%Not comparable
Multimodal
BenchmarkClaude Opus 4.7MiniMax M2.7Result
AA-MMMU-ProSource 76.4%Not comparable
Design Arena WebsiteSource 13281279Claude Opus 4.7 leads
GDPval-AASource 1495Not comparable
Inst. Following
BenchmarkClaude Opus 4.7MiniMax M2.7Result
AA-IFBenchSource 43.6%75.7%MiniMax M2.7 leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.7 and MiniMax M2.7 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude Opus 4.7 and MiniMax M2.7 today?

Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens MiniMax M2.7: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 15, 2026

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