Model comparison
Claude Opus 4.7 vs Mercury 2.5
Claude Opus 4.7 has enough public results to be ranked (#17); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Claude Opus 4.7 scores higher in 1 category and Mercury 2.5 in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.7 leads 66.5 to 22.4.
- The biggest single-benchmark swing is ProofBench: 54% for Claude Opus 4.7 and 3% for Mercury 2.5.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
- Claude Opus 4.7 accepts more context: 1M tokens versus 260K.
Side by side
| Claude Opus 4.7 | Mercury 2.5 | |
|---|---|---|
| Provider | Anthropic | Inception |
| Noometry Index | 58.4 | 30.2 |
| Released | 2026-04-14 | 2026-09-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 260K |
| Max output | 128K | 66K |
| Input $ / M tokens | $5 | $0.04 |
| Output $ / M tokens | $25 | $0.15 |
| Results tracked | 66 | 2 |
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Category by category
Coding Not comparable
Claude Opus 4.7: 59.9 (#10), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| ALE-Bench | 1,323 | 301.65 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1557 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| LMArena Coding | 1519 | — |
| MirrorCode | 31.1% | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#8), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Not comparable
Claude Opus 4.7: 53.7 (#24), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| LMArena Hard Prompts | 1507 | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.39 | — |
| ForecastBench | 60.3 | — |
Math Claude Opus 4.7 leads
Claude Opus 4.7: 66.5 (#20), Mercury 2.5: 22.4
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| ProofBench | 54% | 3% |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| LMArena Math | 1499 | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Not comparable
Claude Opus 4.7: 62.6 (#20), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
| LMArena Expert | 1521 | — |
Multimodal Not comparable
Claude Opus 4.7: 41.5 (#29), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| LMArena Vision | 1317 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Not comparable
Claude Opus 4.7: 57.5 (#9), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| LMArena Non-English | 1481 | — |
| LMArena Chinese | 1530 | — |
| LMArena French | 1505 | — |
| LMArena German | 1494 | — |
| LMArena Japanese | 1472 | — |
| LMArena Korean | 1466 | — |
| LMArena Russian | 1494 | — |
| LMArena Spanish | 1497 | — |
Instruction Following Not comparable
Claude Opus 4.7: 78.6 (#9), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| LMArena Instruction Following | 1498 | — |
Long Context Not comparable
Claude Opus 4.7: 46.1 (#24), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| LMArena Longer Query | 1505 | — |
Writing & Preference Not comparable
Claude Opus 4.7: 75.3 (#8), Mercury 2.5: —
| Benchmark | Claude Opus 4.7 | Mercury 2.5 |
|---|---|---|
| LMArena Text | 1491 | — |
| LMArena Creative Writing | 1486 | — |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
| LMArena Multi-Turn | 1506 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Mercury 2.5?
Claude Opus 4.7 has enough public results to be ranked (#17); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, Claude Opus 4.7 or Mercury 2.5?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Claude Opus 4.7 lists at $5 and $25.
Which has the bigger context window?
Claude Opus 4.7 does, with 1M tokens against 260K.
How many benchmarks do Claude Opus 4.7 and Mercury 2.5 share?
2 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mercury 2.5 has 2.