Model comparison
GPT-6 Sol vs Mercury 2.5
GPT-6 Sol has enough public results to be ranked (#46); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where GPT-6 Sol leads 35.8 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 260K.
Side by side
| GPT-6 Sol | Mercury 2.5 | |
|---|---|---|
| Provider | OpenAI | Inception |
| Noometry Index | 49.2 | 30.2 |
| Released | 2026-09-22 | 2026-09-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 260K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.04 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 22 | 2 |
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Category by category
Coding Not comparable
GPT-6 Sol: 59.6 (#11), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| LMArena Coding | 1453 | — |
| ALE-Bench | — | 301.65 |
Agentic & Tool Use Not comparable
GPT-6 Sol: 33.5 (#49), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| GDP.pdf | 28% | — |
Reasoning Not comparable
GPT-6 Sol: 49.3 (#34), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| LMArena Hard Prompts | 1420 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Mercury 2.5: 22.4
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| ProofBench | — | 3% |
| LMArena Math | 1404 | — |
Knowledge Not comparable
GPT-6 Sol: 43.0 (#87), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| Vectara Hallucination Rate | 6.5% | — |
| LMArena Expert | 1449 | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual Not comparable
GPT-6 Sol: 51.0 (#113), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| LMArena Non-English | 1389 | — |
| LMArena Chinese | 1416 | — |
| LMArena Russian | 1407 | — |
| LMArena Spanish | 1377 | — |
Instruction Following Not comparable
GPT-6 Sol: 74.4 (#97), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| LMArena Instruction Following | 1406 | — |
Long Context Not comparable
GPT-6 Sol: 43.2 (#100), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
GPT-6 Sol: 72.3 (#15), Mercury 2.5: —
| Benchmark | GPT-6 Sol | Mercury 2.5 |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1392 | — |
| EQ-Bench Creative Writing | 2125 | — |
| LMArena Multi-Turn | 1405 | — |
Frequently asked questions
Is GPT-6 Sol better than Mercury 2.5?
GPT-6 Sol has enough public results to be ranked (#46); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6 Sol 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; GPT-6 Sol lists at $2 and $10.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 260K.
How many benchmarks do GPT-6 Sol and Mercury 2.5 share?
0 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Mercury 2.5 has 2.