Model comparison
GPT-6 Sol vs Nova Premier 1.0
GPT-6 Sol is the stronger model overall, scoring 49.2 to 37.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 22.3.
- GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6 Sol | Nova Premier 1.0 | |
|---|---|---|
| Provider | OpenAI | Amazon |
| Noometry Index | 49.2 | 37.7 |
| Released | 2026-09-22 | 2025-04-30 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 10K |
| Input $ / M tokens | $2 | $2.50 |
| Output $ / M tokens | $10 | $12.50 |
| Results tracked | 22 | 6 |
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Category by category
Coding Not comparable
GPT-6 Sol: 59.6 (#11), Nova Premier 1.0: —
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| LMArena Coding | 1453 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 33.5 (#49), Nova Premier 1.0: —
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| GDP.pdf | 28% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Nova Premier 1.0: 22.3 (#182)
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | — | 44.8% |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| LMArena Hard Prompts | 1420 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Nova Premier 1.0: 31.5 (#194)
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | — | 35% |
| LMArena Math | 1404 | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Nova Premier 1.0: 35.4 (#176)
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | — | 72.6% |
| Vectara Hallucination Rate | 6.5% | — |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1449 | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Nova Premier 1.0: —
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual Not comparable
GPT-6 Sol: 51.0 (#113), Nova Premier 1.0: —
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1389 | — |
| LMArena Chinese | 1416 | — |
| LMArena Russian | 1407 | — |
| LMArena Spanish | 1377 | — |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Nova Premier 1.0: 66.9 (#201)
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1406 | — |
Long Context Not comparable
GPT-6 Sol: 43.2 (#100), Nova Premier 1.0: —
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1415 | — |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Nova Premier 1.0: 51.0 (#174)
| Benchmark | GPT-6 Sol | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1392 | — |
| EQ-Bench Creative Writing | 2125 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1405 | — |
Frequently asked questions
Is GPT-6 Sol better than Nova Premier 1.0?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 37.7 on the Noometry Index.
Which is cheaper, GPT-6 Sol or Nova Premier 1.0?
GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6 Sol and Nova Premier 1.0 share?
0 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Nova Premier 1.0 has 6.