GPT-5.3-Codex vs GPT-6.1 Sol
Updated October 21, 2026. 18 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 18 shared
Decision reading
Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 29.5 for GPT-5.3-Codex.
GPT-5.3-Codex is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Model AGPT-5.3-CodexOpenAI29.5/1001 independent benchmark$0.59 per solved taskModel BGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved task
- Shared results
- 18
- GPT-5.3-Codex only
- 16
- GPT-6.1 Sol only
- 77
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
GPT-6.1 Sol
GPT-6.1 Sol scores 88.7 against 29.5.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 32.5.
Same board, both measured
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1163.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Sol has a Vals Index result, 63.9%.
Directional only
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6.1 Sol
GPT-5.3-Codex $0.0088, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.3-Codex has the number, $0.59.
Directional only
At a glance
- Coding index
- GPT-5.3-Codex 29.5 from 1 benchmark, GPT-6.1 Sol 88.7 from 2 benchmarks.
- Widest category
- Coding, 35.2 points apart on average over 7 shared benchmarks.
- Widest single gap
- Design Arena: 3D: GPT-5.3-Codex 1008 against GPT-6.1 Sol 1461, 56.6 points apart on a 0 to 100 scale.
- Output price
- GPT-5.3-Codex $14.00 against GPT-6.1 Sol $10.00 per million output tokens, 1.4x apart.
- Context window
- GPT-5.3-Codex takes 400K tokens, GPT-6.1 Sol 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-5.3-Codex | Bars | GPT-6.1 Sol | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Web design | 0 | 6 | ||
| General | 0 | 1 | ||
| All shared boards | 0 | 18 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 96.0% | Only GPT-6.1 Sol measured |
| LMArena WebDev | 1407 | 1753 | GPT-6.1 Sol |
| LiveCodeBench (Vals AI) | 87.3% | Not measured | Only GPT-5.3-Codex measured |
| SWE-bench Verified (Vals AI) | 78.0% | Not measured | Only GPT-5.3-Codex measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 55.0% | Only GPT-6.1 Sol measured |
| Vibe Code Bench (Vals AI) | 61.8% | 88.9% | GPT-6.1 Sol |
| Code migration (Vals AI) | Not measured | 65.1% | Only GPT-6.1 Sol measured |
| ProgramBench (Vals AI) | Not measured | 3.0% | Only GPT-6.1 Sol measured |
| IOI (Vals AI) | 53.8% | 96.9% | GPT-6.1 Sol |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.5% | Only GPT-6.1 Sol measured |
| CyberBench (Vals AI) | Not measured | 39.3% | Only GPT-6.1 Sol measured |
| SciCode | Not measured | 55.8% | Only GPT-6.1 Sol measured |
| Terminal-Bench Hard (Artificial Analysis run) | 53.0% | Not measured | Only GPT-5.3-Codex measured |
| Terminal-Bench | 78.4% | Not measured | Only GPT-5.3-Codex measured |
| FrontierCode | Not measured | 50.2% | Only GPT-6.1 Sol measured |
| WeirdML | 79.3% | Not measured | Only GPT-5.3-Codex measured |
| ALE-Bench | 1655.2 | 2743.8 | GPT-6.1 Sol |
| LMArena Text: coding | Not measured | 1478 | Only GPT-6.1 Sol measured |
| LMArena Text: software and IT | Not measured | 1476 | Only GPT-6.1 Sol measured |
| LMArena WebDev: React | 1395 | 1754 | GPT-6.1 Sol |
| LMArena WebDev: HTML | 1422 | 1800 | GPT-6.1 Sol |
| LMArena WebDev: from an image | 1443 | 1702 | GPT-6.1 Sol |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AA Intelligence Index | 32.5 | 51.8 | GPT-6.1 Sol |
| Epoch Capabilities Index | 157.1 | 168.4 | GPT-6.1 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1033 | Not measured | Only GPT-5.3-Codex measured |
| Design Arena: agents building full-stack apps | 983 | Not measured | Only GPT-5.3-Codex measured |
| Design Arena: agents building mobile apps | 1054 | 1190 | GPT-6.1 Sol |
| Design Arena: agents building Android apps | 1084 | Not measured | Only GPT-5.3-Codex measured |
| Design Arena: agents building Godot games | 1124 | Not measured | Only GPT-5.3-Codex measured |
| Design Arena: spreadsheets | Not measured | 1250 | Only GPT-6.1 Sol measured |
| LiveBench research | Not measured | 83.5% | Only GPT-6.1 Sol measured |
| LiveBench browser | Not measured | 88.0% | Only GPT-6.1 Sol measured |
| LiveBench long agentic | Not measured | 73.0% | Only GPT-6.1 Sol measured |
| SREBench (Vals AI) | Not measured | 50.8% | Only GPT-6.1 Sol measured |
| Finance Agent (Vals AI) | Not measured | 52.0% | Only GPT-6.1 Sol measured |
| Tax Agent Bench (Vals AI) | Not measured | 21.8% | Only GPT-6.1 Sol measured |
| Legal Research Bench (Vals AI) | Not measured | 38.5% | Only GPT-6.1 Sol measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 6.3% | Only GPT-6.1 Sol measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 70.8% | Only GPT-6.1 Sol measured |
| BioMysteryBench (Vals AI) | Not measured | 79.6% | Only GPT-6.1 Sol measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 52.9% | Only GPT-6.1 Sol measured |
| Vals Science Index | Not measured | 59.6% | Only GPT-6.1 Sol measured |
| Robo-bench (Vals AI) | Not measured | 28.3% | Only GPT-6.1 Sol measured |
| τ²-Bench Telecom | 86.0% | Not measured | Only GPT-5.3-Codex measured |
| APEX-Agents | Not measured | 60.0% | Only GPT-6.1 Sol measured |
| METR time horizons | 74.5% | Not measured | Only GPT-5.3-Codex measured |
| SpireClimb | Not measured | 24.7% | Only GPT-6.1 Sol measured |
| Vending-Bench 2 | $5,940 | Not measured | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 92.6% | Only GPT-6.1 Sol measured |
| MysteryMechanism (Vals AI) | Not measured | 46.4% | Only GPT-6.1 Sol measured |
| GPQA Diamond (Artificial Analysis run) | 91.5% | Not measured | Only GPT-5.3-Codex measured |
| Humanity's Last Exam (Artificial Analysis run) | 42.5% | 52.9% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | Not measured | 95.4% | Only GPT-6.1 Sol measured |
| ARC-AGI | Not measured | 98.5% | Only GPT-6.1 Sol measured |
| ARC-AGI-2 | Not measured | 94.2% | Only GPT-6.1 Sol measured |
| Chess puzzles | Not measured | 68.0% | Only GPT-6.1 Sol measured |
| Mystery game puzzles | Not measured | 80.0% | Only GPT-6.1 Sol measured |
| EBR-bench | Not measured | 54.3% | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts | Not measured | 1463 | Only GPT-6.1 Sol measured |
| LMArena Text: expert | Not measured | 1489 | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts in English | Not measured | 1465 | Only GPT-6.1 Sol measured |
| LMArena Vision: diagrams | Not measured | 1306 | Only GPT-6.1 Sol measured |
| LMArena Vision: homework | Not measured | 1356 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 6 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only GPT-6.1 Sol measured |
| FrontierMath, tiers 1 to 3 | Not measured | 93.7% | Only GPT-6.1 Sol measured |
| FrontierMath, tier 4 | Not measured | 100.0% | Only GPT-6.1 Sol measured |
| ProofBench | Not measured | 99.0% | Only GPT-6.1 Sol measured |
| LMArena Text: math | Not measured | 1489 | Only GPT-6.1 Sol measured |
| LMArena Text: mathematical work | Not measured | 1513 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 48.8% | Only GPT-6.1 Sol measured |
| SimpleQA Verified | Not measured | 73.9% | Only GPT-6.1 Sol measured |
| LMArena Text: science | Not measured | 1444 | Only GPT-6.1 Sol measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only GPT-6.1 Sol measured |
| LMArena Text: legal and government | Not measured | 1471 | Only GPT-6.1 Sol measured |
| LMArena Text: business and finance | Not measured | 1445 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Design Arena: websites | 1163 | 1321 | GPT-6.1 Sol |
| Design Arena: UI components | 1137 | 1321 | GPT-6.1 Sol |
| Design Arena: game dev | 1162 | 1389 | GPT-6.1 Sol |
| Design Arena: data viz | 1164 | 1278 | GPT-6.1 Sol |
| Design Arena: 3D | 1008 | 1461 | GPT-6.1 Sol |
| Design Arena: all code categories | 1145 | 1345 | GPT-6.1 Sol |
| Design Arena: SVG | 1129 | Not measured | Only GPT-5.3-Codex measured |
| Design Arena: ASCII art | 1151 | Not measured | Only GPT-5.3-Codex measured |
| LiveBench design | Not measured | 82.1% | Only GPT-6.1 Sol measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Vals Index | Not measured | 63.9% | Only GPT-6.1 Sol measured |
| LiveBench data analysis | Not measured | 82.7% | Only GPT-6.1 Sol measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.3% | Only GPT-6.1 Sol measured |
| SAGE (Vals AI) | Not measured | 46.5% | Only GPT-6.1 Sol measured |
| MedScribe (Vals AI) | Not measured | 86.5% | Only GPT-6.1 Sol measured |
| IFBench | 75.4% | Not measured | Only GPT-5.3-Codex measured |
| Long context reasoning (AA-LCR) | 83.3% | 84.0% | GPT-6.1 Sol |
| DTBench | Not measured | 96.5% | Only GPT-6.1 Sol measured |
| LMCA | Not measured | 62.8% | Only GPT-6.1 Sol measured |
| Furniture assembly | Not measured | 80.0% | Only GPT-6.1 Sol measured |
| LMArena Text | Not measured | 1443 | Only GPT-6.1 Sol measured |
| LMArena Text: instruction following | Not measured | 1466 | Only GPT-6.1 Sol measured |
| LMArena Text: creative writing | Not measured | 1425 | Only GPT-6.1 Sol measured |
| LMArena Vision | Not measured | 1288 | Only GPT-6.1 Sol measured |
| LMArena Text: English | Not measured | 1450 | Only GPT-6.1 Sol measured |
| LMArena Text: non-English | Not measured | 1433 | Only GPT-6.1 Sol measured |
| LMArena Text: Chinese | Not measured | 1487 | Only GPT-6.1 Sol measured |
| LMArena Text: French | Not measured | 1460 | Only GPT-6.1 Sol measured |
| LMArena Text: Spanish | Not measured | 1439 | Only GPT-6.1 Sol measured |
| LMArena Text: Russian | Not measured | 1457 | Only GPT-6.1 Sol measured |
| LMArena Text: multi-turn | Not measured | 1442 | Only GPT-6.1 Sol measured |
| LMArena Text: longer queries | Not measured | 1458 | Only GPT-6.1 Sol measured |
| LMArena Text: writing and language | Not measured | 1444 | Only GPT-6.1 Sol measured |
| LMArena Text: entertainment and media | Not measured | 1426 | Only GPT-6.1 Sol measured |
| LMArena Vision: English | Not measured | 1274 | Only GPT-6.1 Sol measured |
| LMArena Vision: reading text | Not measured | 1289 | Only GPT-6.1 Sol measured |
| LMArena Vision: creative writing | Not measured | 1301 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.3-Codex | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-5.3-Codex$0.0088Fits in one request
GPT-6.1 Sol$0.0070Fits in one request
GPT-6.1 Sol costs less
Repository review
50K input + 3K output tokens
GPT-5.3-Codex$0.130Fits in one request
GPT-6.1 Sol$0.130Fits in one request
GPT-5.3-Codex costs less
Agent loop
200K input + 10K output tokens
GPT-5.3-Codex$0.490Fits in one request
GPT-6.1 Sol$0.500Fits in one request
GPT-5.3-Codex costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5.3-Codex | OpenAI GPT-6.1 Sol |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | February 24, 2026 | September 29, 2026 |
| Context window | 400K | 1.05M |
| Input $/Mtok | $1.75 | $2.00 |
| Output $/Mtok | $14.00 | $10.00 |
| Coding index | 29.5 | 88.7 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.59 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.3-Codex better than GPT-6.1 Sol for coding?
Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 29.5 for GPT-5.3-Codex. GPT-5.3-Codex is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, GPT-5.3-Codex or GPT-6.1 Sol?
GPT-5.3-Codex costs $1.75 per million input tokens and $14.00 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for GPT-5.3-Codex only.
Which has the bigger context window, GPT-5.3-Codex or GPT-6.1 Sol?
GPT-6.1 Sol, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5.3-Codex vs GPT-6.1 Sol comparison based on?
18 benchmarks have a result for both models as of October 21, 2026. GPT-5.3-Codex's coding index rests on 1 independent benchmark and GPT-6.1 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.