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Model comparison

Claude Opus 4.7 vs MiniMax M3

Data verified

Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

71.94/100
Margin
2.2pts
← winning
MiniMax
69.75/100
0 category wins1 category wins

Public leaderboard positions: Claude Opus 4.7 #12 (Supported); MiniMax M3 #15 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 and MiniMax M3 share 15 comparable benchmark results. 1 of 8 categories are comparable. 6 results are unique to Claude Opus 4.7; 30 to MiniMax M3.

Updated July 23, 2026
Shared results
15
Claude Opus 4.7 only
6
MiniMax M3 only
30
Comparable categories
1 / 8

Pick Claude Opus 4.7 if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.7 has the cleaner BenchAlign overall profile here, landing at 71.94 versus 69.75. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 20.8x on output cost alone.

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 M3
CategoryClaude Opus 4.7ΔMiniMax M3
MathClaude Opus 4.738.6Margin 47.1MiniMax M385.7
AgenticClaude Opus 4.7Not measuredMarginNo overlapMiniMax M372.3
CodingClaude Opus 4.7Not measuredMarginNo overlapMiniMax M372.2
MultimodalClaude Opus 4.7Not measuredMarginNo overlapMiniMax M364.9

Operational comparison

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

MetricClaude Opus 4.7MiniMax M3Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.7$5 input / $25 outputMiniMax M3$0.3 input / $1.2 outputMiniMax M3 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7Not availableMiniMax M3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7Not availableMiniMax M3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.71MMiniMax M31MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7MiniMax M3Result
τ²-bench resultsSource 74%88.9%MiniMax M3 leads
Gert LabsSource 65.59%Not comparable
ResearchClawBenchSource 20.7%19.8%Claude Opus 4.7 leads
OSWorld 2.0Source 13.9%4.6%Claude Opus 4.7 leads
Terminal-Bench 2.0Source 66%Not comparable
BrowseCompSource 83.5%Not comparable
OSWorld-VerifiedSource 70.1%Not comparable
MCP AtlasSource 74.2%Not comparable
Claw-EvalSource 74.5%Not comparable
AA Agentic IndexSource 35.4%Not comparable
GDPval-AASource 44.7%Not comparable
GDPval-AASource 1395Not comparable
GDPval rubricsSource 74.7%Not comparable
BankerToolBenchSource 76.1%Not comparable
AA BriefcaseSource 1110Not comparable
AA EnterpriseOps-GymSource 32.1%Not comparable
AA Harvey LABSource 88.4%Not comparable
terminalBenchHardSource 42.4%Not comparable
aaTerminalBench21Source 65.2%Not comparable
Coding
BenchmarkClaude Opus 4.7MiniMax M3Result
Vibe Code BenchSource 71.00%Not comparable
React Native EvalsSource 82.8%Not comparable
AA-SciCodeSource 50.1%45.4%Claude Opus 4.7 leads
FrontierCode 1.1 MainSource 38.5%Not comparable
SWE-bench VerifiedSource 80.5%Not comparable
SWE-bench ProSource 59%Not comparable
Terminal-Bench 2.0Source 66.0%Not comparable
NL2RepoSource 42.1%Not comparable
AA Coding IndexSource 58.6%Not comparable
VIBE V2Source 50.1%Not comparable
SVG-BenchSource 63.7%Not comparable
KernelBench HardSource 28.8%Not comparable
Reasoning
BenchmarkClaude Opus 4.7MiniMax M3Result
AA-LCRSource 67.0%74.0%MiniMax M3 leads
CritPtSource 5.1%3.7%Claude Opus 4.7 leads
Knowledge
BenchmarkClaude Opus 4.7MiniMax M3Result
Artificial Analysis Intelligence IndexSource 42.7%44.4%MiniMax M3 leads
AA-GPQA DiamondSource 88.5%92.9%MiniMax M3 leads
AA-HLESource 31.2%37.1%MiniMax M3 leads
AA-Omniscience IndexSource 14.2%1.4%Claude Opus 4.7 leads
AA-Omniscience AccuracySource 43.5%15.0%Claude Opus 4.7 leads
AA-Omniscience Hallucination RateSource 51.9%16.1%MiniMax M3 leads
AA Openness IndexSource 33.3%Not comparable
MathMiniMax M3 wins
BenchmarkClaude Opus 4.7MiniMax M3Result
FrontierMath v2 (Tiers 1-3)Source 43.793%Not comparable
FrontierMath v2 (Tier 4)Source 22.917%Not comparable
USAMO 2026Source 85.7%Not comparable
Multimodal
BenchmarkClaude Opus 4.7MiniMax M3Result
AA-MMMU-ProSource 76.4%78.6%MiniMax M3 leads
Design Arena WebsiteSource 13251289Claude Opus 4.7 leads
OfficeQA ProSource 45.1%Not comparable
OmniDocBench 1.5Source 91.6%Not comparable
MMMU-ProSource 78.1%Not comparable
VideoMMMUSource 84.6%Not comparable
Video-MME (with subtitle)Source 85.4%Not comparable
Inst. Following
BenchmarkClaude Opus 4.7MiniMax M3Result
AA-IFBenchSource 43.6%82.9%MiniMax M3 leads
Frequently Asked Questions (2)

Which is better, Claude Opus 4.7 or MiniMax M3?

Claude Opus 4.7 is ahead on BenchLM's BenchAlign leaderboard, 71.94 to 69.75.

Which is better for math, Claude Opus 4.7 or MiniMax M3?

MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 38.6. Claude Opus 4.7 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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