Model comparison
GPT-6.1 Sol vs Grok 4.5
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 55.0 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. GPT-6.1 Sol scores higher in 7 categories and Grok 4.5 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 60.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 100% for GPT-6.1 Sol and 24.4% for Grok 4.5.
- Grok 4.5 is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 500K.
Side by side
| GPT-6.1 Sol | Grok 4.5 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 65.6 | 55.0 |
| Released | 2026-09-29 | 2026-07-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 500K |
| Max output | 128K | 500K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 34 | 52 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Grok 4.5: 52.2 (#35)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| DeepSWE | 75.2% | 53.8% |
| FrontierCode | 50.2% | 42.4% |
| LMArena WebDev | 1755 | 1553 |
| SciCode | 55.8% | 54.1% |
| LMArena Coding | 1487 | 1474 |
| WeirdML | — | 46.4% |
| ALE-Bench | — | 1,309 |
Agentic & Tool Use Grok 4.5 leads
GPT-6.1 Sol: 39.6 (#26), Grok 4.5: 44.4 (#17)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| APEX-Agents | 60% | 56.2% |
| GDP.pdf | 32% | 14% |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| LMArena Search | — | 1213 |
| Vending-Bench 2 | — | 3,887 |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Grok 4.5: 56.1 (#25)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| ARC-AGI-2 | 94.2% | 52.6% |
| NYT Connections (extended) | 95.5% | 79.9% |
| ARC-AGI-1 | 98.5% | 87.2% |
| CritPt | 31.7% | 15.4% |
| Chess Puzzles | 61% | 36% |
| LMArena Hard Prompts | 1466 | 1462 |
| Epoch Capabilities Index | 166.09 | 153.92 |
| SimpleBench | — | 70% |
| Kagi LLM Benchmark | — | 83.5% |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| DTBench | — | 96.5% |
| LMCA | — | 45.2% |
| Surface Evolver Bench | — | 74.4% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Grok 4.5: 60.9 (#35)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 57.2% |
| FrontierMath Tier 4 | 100% | 24.4% |
| OTIS Mock AIME 2024-2025 | 100% | 97.8% |
| ProofBench | 99% | 31% |
| LMArena Math | 1464 | 1459 |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Grok 4.5: 62.3 (#24)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| GPQA Diamond | 95.4% | 93.4% |
| SimpleQA Verified | 73.9% | 48.3% |
| LMArena Expert | 1502 | 1466 |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Grok 4.5: 37.6 (#72)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| LMArena Vision | 1288 | 1288 |
| Furniture Assembly | 80% | 22.5% |
| Blueprint-Bench 2 | — | 27.3% |
| LMArena Document | — | 1452 |
Multilingual Too close to call
GPT-6.1 Sol: 54.3 (#46), Grok 4.5: 54.4 (#42)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 1438 | 1440 |
| LMArena Chinese | 1477 | 1496 |
| LMArena Russian | 1455 | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1446 |
| LMArena Japanese | — | 1428 |
| LMArena Korean | — | 1404 |
| LMArena Spanish | — | 1450 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Grok 4.5: 76.0 (#48)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1446 |
Long Context Too close to call
GPT-6.1 Sol: 44.9 (#54), Grok 4.5: 44.8 (#56)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | 1465 | 1463 |
Writing & Preference Grok 4.5 leads
GPT-6.1 Sol: 63.6 (#63), Grok 4.5: 65.8 (#42)
| Benchmark | GPT-6.1 Sol | Grok 4.5 |
|---|---|---|
| LMArena Text | 1447 | 1448 |
| LMArena Creative Writing | 1432 | 1442 |
| LMArena Multi-Turn | 1449 | 1456 |
| EQ-Bench Creative Writing | — | 1579 |
Frequently asked questions
Is GPT-6.1 Sol better than Grok 4.5?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 55.0 on the Noometry Index.
Which is cheaper, GPT-6.1 Sol or Grok 4.5?
Grok 4.5 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Grok 4.5 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 52.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 500K.
How many benchmarks do GPT-6.1 Sol and Grok 4.5 share?
32 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Grok 4.5 has 52.