Compare / head-to-head
Claude Opus 4.7vs
MiniMax M2
Claude Opus 4.7 leads 7 of 7 shared benchmarks. MiniMax M2 is 20x cheaper per token. Claude Opus 4.7 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
7 – 0
Claude Opus 4.7 leads
Cheaper per token
MiniMax M2
20x cheaper, input + output
Larger context
Claude Opus 4.7
1M tokens
Providers
2 providers
Anthropic · MiniMax
Claude Opus 4.7
Anthropic · released 2026-04-16
textvision
MiniMax M2
MiniMax · released 2025-10-27
text
Quality
Benchmark matrix
7 shared · 31 only Claude Opus 4.7 · 10 only MiniMax M2| Benchmark | Claude Opus 4.7 | MiniMax M2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 7 | ||||
| SWE-bench Verified | 87.6% ↗ | 69.4% ↗ | +18.2 pt | Claude Opus 4.7 |
| LMArena Elo | 1483.4 ↗ | 1343.4 ↗ | +140 | Claude Opus 4.7 |
| BrowseComp | 79.8% ↗ | 44% ↗ | +35.8 pt | Claude Opus 4.7 |
| LMArena WebDev (LMArena) | 1557.3 ↗ | 1296.6 ↗ | +260.7 | Claude Opus 4.7 |
| SimpleBench (SimpleBench) | 61.7% ↗ | 25% ↗ | +36.7 pt | Claude Opus 4.7 |
| SWE-bench Multilingual | 80.5% ↗ | 56.5% ↗ | +24 pt | Claude Opus 4.7 |
| Vending-Bench 2 (Andon Labs) | 10936.76 ↗ | 160.6 ↗ | +10776.2 | Claude Opus 4.7 |
| Only Claude Opus 4.7 reports · 31 | ||||
| GPQA Diamond | 94.2% ↗ | not reported | — | — |
| AIME 2026 | 95.8% ↗matharena ⚠ | not reported | — | — |
| Humanity's Last Exam (no tools) | 46.9% ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 49.2% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 30% ↗epoch run | not reported | — | — |
| EBR-bench (Epoch AI run) | 19% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 31.7% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 70.2% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 33.3% ↗epoch run | not reported | — | — |
| GSO Opt@1 (GSO) | 42.2% ↗ | not reported | — | — |
| Humanity's Last Exam (with tools) | 54.7% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 50.7% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 82.1% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 78.3% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 66.7% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 77.9% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 92.9% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 87.2% ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1298.1 ↗ | not reported | — | — |
| MirrorCode (Epoch AI run) | 31.1% ↗epoch run | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 28% ↗epoch run | not reported | — | — |
| OSWorld-Verified | 82.8% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 97.8% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 56.1% ↗ | not reported | — | — |
| SimpleQA Verified | 51.7% ↗epoch run | not reported | — | — |
| SWE-bench Multimodal | 34.5% ↗ | not reported | — | — |
| SWE-Bench Pro | 64.3% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 83.5% ↗epoch run | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 40.2% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 66.1% ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 76.4% ↗ | not reported | — | — |
| Only MiniMax M2 reports · 10 | ||||
| AgentCompany | not reported | 36% ↗ | — | — |
| ArtifactsBench | not reported | 66.8% ↗ | — | — |
| BrowseComp-zh | not reported | 48.5% ↗ | — | — |
| FinSearchComp-global | not reported | 65.5% ↗ | — | — |
| GAIA (text only) | not reported | 75.7% ↗ | — | — |
| HLE (w/ tools) | not reported | 31.8% ↗ | — | — |
| Multi-SWE-Bench | not reported | 36.2% ↗ | — | — |
| Terminal-Bench | not reported | 46.3% ↗ | — | — |
| xbench-DeepSearch | not reported | 72% ↗ | — | — |
| τ²-Bench | not reported | 77.2% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Claude Opus 4.7 minus MiniMax M2 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Claude Opus 4.7 | MiniMax M2 | Edge |
|---|---|---|---|
| Context window | 1M tokens | 205K tokens | Claude Opus 4.7 |
| Max output | 128K tokens | 128K tokens | Tie |
| Input price / 1M | $5 ↗ | $0.3 ↗ | MiniMax M2 |
| Output price / 1M | $25 ↗ | $1.2 ↗ | MiniMax M2 |
| Cached input / 1M | $0.5 ↗ | $0.03 ↗ | MiniMax M2 |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | $1.5 | MiniMax M2 |
| Modalities | text · vision | text | Claude Opus 4.7 |
| Released | 2026-04-16 | 2025-10-27 | — |
| Cited benchmark scores | 46 | 17 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 4.7 vs …
Models sharing the most benchmarksMore matchups
MiniMax M2 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Claude Opus 4.7 and MiniMax M2 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.