Model comparison
GPT-6.1 Sol vs Mercury
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 37.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. GPT-6.1 Sol scores higher in 6 categories and Mercury in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 17.5.
Side by side
| GPT-6.1 Sol | Mercury | |
|---|---|---|
| Provider | OpenAI | Inception |
| Noometry Index | 65.6 | 37.6 |
| Released | 2026-09-29 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 9 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Mercury: 38.7 (#170)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Coding | 1487 | 1322 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Mercury: —
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Mercury: 17.5 (#293)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1285 |
| ARC-AGI-2 | 94.2% | — |
| Kagi LLM Benchmark | — | 21.6% |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |
Math Not comparable
GPT-6.1 Sol: 93.7 (#1), Mercury: —
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| LMArena Math | 1464 | — |
Knowledge Not comparable
GPT-6.1 Sol: 71.8 (#4), Mercury: —
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
| LMArena Expert | 1502 | — |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Mercury: —
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Mercury: 41.6 (#206)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Non-English | 1438 | 1260 |
| LMArena Chinese | 1477 | — |
| LMArena Russian | 1455 | — |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Mercury: 65.2 (#224)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Instruction Following | 1468 | 1239 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Mercury: 38.4 (#198)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Longer Query | 1465 | 1266 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Mercury: 46.2 (#221)
| Benchmark | GPT-6.1 Sol | Mercury |
|---|---|---|
| LMArena Text | 1447 | 1282 |
| LMArena Creative Writing | 1432 | 1191 |
| LMArena Multi-Turn | 1449 | 1282 |
Frequently asked questions
Is GPT-6.1 Sol better than Mercury?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 37.6 on the Noometry Index.
Is GPT-6.1 Sol or Mercury better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 38.7 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Mercury share?
8 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mercury has 9.