Model comparison
Claude Opus 4.7 (Adaptive) vs MiniMax M3
Head-to-head evidence from 26 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.7 (Adaptive) #27 (Estimated); MiniMax M3 #15 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 (Adaptive) and MiniMax M3 share 26 comparable benchmark results. 3 of 8 categories are comparable. 12 results are unique to Claude Opus 4.7 (Adaptive); 19 to MiniMax M3.
Updated July 23, 2026- Shared results
- 26
- Claude Opus 4.7 (Adaptive) only
- 12
- MiniMax M3 only
- 19
- Comparable categories
- 3 / 8
Pick MiniMax M3 if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 26 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiniMax M3 is clearly ahead on the BenchAlign aggregate, 69.75 to 66.27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7 (Adaptive) 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. Claude Opus 4.7 (Adaptive) is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
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 (Adaptive) | Δ | MiniMax M3 |
|---|---|---|---|
| Coding | Claude Opus 4.7 (Adaptive)78.6 | Margin← 6.4 | MiniMax M372.2 |
| Agentic | Claude Opus 4.7 (Adaptive)75.1 | Margin← 2.8 | MiniMax M372.3 |
| Multimodal | Claude Opus 4.7 (Adaptive)65.1 | Margin← 0.2 | MiniMax M364.9 |
| Reasoning | Claude Opus 4.7 (Adaptive)75.8 | MarginNo overlap | MiniMax M3Not measured |
| Knowledge | Claude Opus 4.7 (Adaptive)60.0 | MarginNo overlap | MiniMax M3Not measured |
| Math | Claude Opus 4.7 (Adaptive)Not measured | MarginNo overlap | MiniMax M385.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 78%B 70.1%Winner: Claude Opus 4.7 (Adaptive)Δ 7.9OSWorld-Verified: Claude Opus 4.7 (Adaptive) scored 78%; MiniMax M3 scored 70.1%. Claude Opus 4.7 (Adaptive) wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 87.6%B 80.5%Winner: Claude Opus 4.7 (Adaptive)Δ 7.1SWE-bench Verified: Claude Opus 4.7 (Adaptive) scored 87.6%; MiniMax M3 scored 80.5%. Claude Opus 4.7 (Adaptive) wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 64.3%B 59%Winner: Claude Opus 4.7 (Adaptive)Δ 5.3SWE-bench Pro: Claude Opus 4.7 (Adaptive) scored 64.3%; MiniMax M3 scored 59%. Claude Opus 4.7 (Adaptive) wins this benchmark. - Source ↗
BrowseComp
AgenticA 79.3%B 83.5%Winner: MiniMax M3Δ 4.2BrowseComp: Claude Opus 4.7 (Adaptive) scored 79.3%; MiniMax M3 scored 83.5%. MiniMax M3 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 69.4%B 66%Winner: Claude Opus 4.7 (Adaptive)Δ 3.4Terminal-Bench 2.0: Claude Opus 4.7 (Adaptive) scored 69.4%; MiniMax M3 scored 66%. Claude Opus 4.7 (Adaptive) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7 (Adaptive)$5 input / $25 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7 (Adaptive)Not available | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7 (Adaptive)Not available | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.7 (Adaptive)1M | MiniMax M31M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Opus 4.7 (Adaptive) wins21 benchmarks
| Benchmark | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 69.4% | 66% | Claude Opus 4.7 (Adaptive) leads |
| BrowseCompSource | 79.3% | 83.5% | MiniMax M3 leads |
| MCP AtlasSource | 77.3% | 74.2% | Claude Opus 4.7 (Adaptive) leads |
| OSWorld-VerifiedSource | 78% | 70.1% | Claude Opus 4.7 (Adaptive) leads |
| CyberGymSource | 73.1% | — | Not comparable |
| AA Agentic IndexSource | 44.4% | 35.4% | Claude Opus 4.7 (Adaptive) leads |
| τ²-bench resultsSource | 88.6% | 88.9% | MiniMax M3 leads |
| GDPval-AASource | 49.8% | 44.7% | Claude Opus 4.7 (Adaptive) leads |
| GDPval-AASource | 1495 | 1395 | Claude Opus 4.7 (Adaptive) leads |
| OSWorld 2.0Source | 18.2% | 4.6% | Claude Opus 4.7 (Adaptive) leads |
| JobBenchSource | 45.9% | — | Not comparable |
| AA ITBenchSource | 46.7% | — | Not comparable |
| Claw-EvalSource | — | 74.5% | Not comparable |
| GDPval rubricsSource | — | 74.7% | Not comparable |
| BankerToolBenchSource | — | 76.1% | Not comparable |
| ResearchClawBenchSource | — | 19.8% | Not comparable |
| AA BriefcaseSource | — | 1110 | Not 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 |
CodingClaude Opus 4.7 (Adaptive) wins9 benchmarks
| Benchmark | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 87.6% | 80.5% | Claude Opus 4.7 (Adaptive) leads |
| SWE-bench ProSource | 64.3% | 59% | Claude Opus 4.7 (Adaptive) leads |
| Terminal-Bench 2.0Source | 69.4% | 66.0% | Claude Opus 4.7 (Adaptive) leads |
| AA Coding IndexSource | 73.6% | 58.6% | Claude Opus 4.7 (Adaptive) leads |
| AA-SciCodeSource | 54.5% | 45.4% | Claude Opus 4.7 (Adaptive) leads |
| NL2RepoSource | — | 42.1% | Not comparable |
| VIBE V2Source | — | 50.1% | Not comparable |
| SVG-BenchSource | — | 63.7% | Not comparable |
| KernelBench HardSource | — | 28.8% | Not comparable |
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Result |
|---|---|---|---|
| GPQASource | 94.2% | — | Not comparable |
| GPQA-DSource | 94.2% | — | Not comparable |
| HLESource | 54.7% | — | Not comparable |
| HLE w/o toolsSource | 46.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.5% | 44.4% | Claude Opus 4.7 (Adaptive) leads |
| AA-GPQA DiamondSource | 91.4% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 39.6% | 37.1% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience IndexSource | 26.2% | 1.4% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience AccuracySource | 45.8% | 15.0% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience Hallucination RateSource | 36.2% | 16.1% | MiniMax M3 leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math2 benchmarks
MultimodalClaude Opus 4.7 (Adaptive) wins9 benchmarks
| Benchmark | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Result |
|---|---|---|---|
| OfficeQA ProSource | 43.6% | 45.1% | MiniMax M3 leads |
| CharXivSource | 91% | — | Not comparable |
| CharXiv w/o toolsSource | 82.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.8% | 78.6% | Claude Opus 4.7 (Adaptive) leads |
| Design Arena WebsiteSource | 1325 | 1289 | Claude Opus 4.7 (Adaptive) leads |
| 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. Following1 benchmarks
| Benchmark | Claude Opus 4.7 (Adaptive) | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.6% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (4)
Which is better, Claude Opus 4.7 (Adaptive) or MiniMax M3?
MiniMax M3 is ahead on BenchLM's BenchAlign leaderboard, 69.75 to 66.27. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 78% and 70.1%.
Which is better for coding, Claude Opus 4.7 (Adaptive) or MiniMax M3?
Claude Opus 4.7 (Adaptive) has the edge for coding in this comparison, averaging 78.6 versus 72.2. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.7 (Adaptive) or MiniMax M3?
Claude Opus 4.7 (Adaptive) has the edge for agentic tasks in this comparison, averaging 75.1 versus 72.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Opus 4.7 (Adaptive) or MiniMax M3?
Claude Opus 4.7 (Adaptive) has the edge for multimodal and grounded tasks in this comparison, averaging 65.1 versus 64.9. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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