Model comparison
GPT-5.3 Chat vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 42.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 38.2.
- GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-5.3 Chat | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 42.8 | 65.6 |
| Released | 2026-03-03 | 2026-09-29 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 16K | 128K |
| Input $ / M tokens | $1.75 | $2 |
| Output $ / M tokens | $14 | $10 |
| Results tracked | 18 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-5.3 Chat: 41.4 (#124), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Coding | 1408 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
Agentic & Tool Use Not comparable
GPT-5.3 Chat: —, GPT-6.1 Sol: 39.6 (#26)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
GPT-5.3 Chat: 28.5 (#102), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1466 |
| ARC-AGI-2 | — | 94.2% |
| 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 GPT-6.1 Sol leads
GPT-5.3 Chat: 38.2 (#142), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Math | 1389 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 99% |
Knowledge GPT-6.1 Sol leads
GPT-5.3 Chat: 38.8 (#140), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Expert | 1397 | 1502 |
| GPQA Diamond | — | 95.4% |
| SimpleQA Verified | — | 73.9% |
Multimodal Not comparable
GPT-5.3 Chat: —, GPT-6.1 Sol: 52.7 (#5)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| Furniture Assembly | — | 80% |
Multilingual GPT-6.1 Sol leads
GPT-5.3 Chat: 50.3 (#124), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1382 | 1438 |
| LMArena Chinese | 1432 | 1477 |
| LMArena Russian | 1400 | 1455 |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Spanish | 1371 | — |
Instruction Following GPT-6.1 Sol leads
GPT-5.3 Chat: 72.8 (#129), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1378 | 1468 |
Long Context GPT-6.1 Sol leads
GPT-5.3 Chat: 42.6 (#120), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1396 | 1465 |
Writing & Preference Too close to call
GPT-5.3 Chat: 63.1 (#68), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | GPT-5.3 Chat | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1389 | 1447 |
| LMArena Creative Writing | 1355 | 1432 |
| LMArena Multi-Turn | 1412 | 1449 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 42.8 on the Noometry Index.
Which is cheaper, GPT-5.3 Chat or GPT-6.1 Sol?
GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 128K.
How many benchmarks do GPT-5.3 Chat and GPT-6.1 Sol share?
12 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and GPT-6.1 Sol has 34.