Model comparison
Claude Opus 4.7 vs MiniMax M2.7
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
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 | Claude Opus 4.7 | Δ | MiniMax M2.7 |
|---|---|---|---|
| Agentic | Claude Opus 4.7Not measured | MarginNo overlap | MiniMax M2.757.0 |
| Coding | Claude Opus 4.7Not measured | MarginNo overlap | MiniMax M2.753.3 |
| Math | Claude Opus 4.738.6 | MarginNo overlap | MiniMax M2.7Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | MiniMax M2.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | MiniMax M2.7$0.3 input / $1.2 output | MiniMax M2.7 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | MiniMax M2.745 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | MiniMax M2.72.53 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | MiniMax M2.7200K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Result |
|---|---|---|---|
| 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 | — | 1158 | Not comparable |
Coding13 benchmarks
| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Result |
|---|---|---|---|
| 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 |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Result |
|---|---|---|---|
| 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 |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Result |
|---|---|---|---|
| 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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