Model comparison
GPT-6.1 Sol vs Grok 4.3
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.8 on the Noometry Index. Grok 4.3 costs 2.6× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. GPT-6.1 Sol scores higher in 10 categories and Grok 4.3 in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 46.0.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 11% for Grok 4.3.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6.1 Sol | Grok 4.3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 65.6 | 43.8 |
| Released | 2026-09-29 | 2026-04-17 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 30K |
| Input $ / M tokens | $2 | $1.25 |
| Output $ / M tokens | $10 | $2.50 |
| Results tracked | 34 | 40 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Grok 4.3: 41.6 (#121)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena WebDev | 1755 | 1357 |
| SciCode | 55.8% | 47.3% |
| LMArena Coding | 1487 | 1415 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| WeirdML | — | 49.9% |
| ALE-Bench | — | 944.17 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), Grok 4.3: 27.7 (#99)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| GDP.pdf | 32% | 8% |
| APEX-Agents | 60% | — |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Grok 4.3: 35.9 (#68)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| NYT Connections (extended) | 95.5% | 55.2% |
| CritPt | 31.7% | 8% |
| Chess Puzzles | 61% | 25% |
| LMArena Hard Prompts | 1466 | 1396 |
| Epoch Capabilities Index | 166.09 | 149.16 |
| ARC-AGI-2 | 94.2% | — |
| ARC-AGI-1 | 98.5% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| DTBench | — | 90.7% |
| LMCA | — | 38.3% |
| ForecastBench | — | 60.3 |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Grok 4.3: 46.0 (#74)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 42.8% |
| FrontierMath Tier 4 | 100% | 14.6% |
| OTIS Mock AIME 2024-2025 | 100% | 93.3% |
| ProofBench | 99% | 11% |
| LMArena Math | 1464 | 1388 |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Grok 4.3: 52.5 (#62)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 95.4% | 88.8% |
| SimpleQA Verified | 73.9% | 33.2% |
| LMArena Expert | 1502 | 1385 |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Grok 4.3: 31.6 (#104)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1288 | 1229 |
| Blueprint-Bench 2 | — | 0% |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Grok 4.3: 50.5 (#120)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1438 | 1385 |
| LMArena Chinese | 1477 | 1422 |
| LMArena Russian | 1455 | 1399 |
| LMArena French | — | 1412 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1379 |
| LMArena Korean | — | 1356 |
| LMArena Spanish | — | 1398 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Grok 4.3: 72.1 (#140)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1366 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Grok 4.3: 42.5 (#123)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1465 | 1393 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Grok 4.3: 58.5 (#118)
| Benchmark | GPT-6.1 Sol | Grok 4.3 |
|---|---|---|
| LMArena Text | 1447 | 1397 |
| LMArena Creative Writing | 1432 | 1380 |
| LMArena Multi-Turn | 1449 | 1406 |
| EQ-Bench 4 | — | 1075 |
Frequently asked questions
Is GPT-6.1 Sol better than Grok 4.3?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 43.8 on the Noometry Index. Grok 4.3 costs 2.6× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6.1 Sol or Grok 4.3?
Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Grok 4.3 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 41.6 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6.1 Sol and Grok 4.3 share?
26 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Grok 4.3 has 40.