Claude Fable 5 vs GPT-5.3-Codex
Claude Fable 5 leads GPT-5.3-Codex on coding, 79.3 to 60.0 on the Vibe Coding Index, and GPT-5.3-Codex costs 3.6x less per output token ($14.00 vs $50.00 per million). Updated October 22, 2026; 31 benchmarks have a result for both.
Claude Fable 5 or GPT-5.3-Codex: which to pick
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 60.0 for GPT-5.3-Codex.
Pick GPT-5.3-Codex for output tokens 3.6x cheaper ($14.00 vs $50.00 per million) and a lower cost per solved task ($0.59 against $2.16).
- Shared results
- 31
- Claude Fable 5 only
- 96
- GPT-5.3-Codex only
- 3
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
Claude Fable 5
Claude Fable 5 scores 79.3 against 60.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 32.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Fable 5 has a AA Agentic Index result, 50.7.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Fable 5 has a GPQA Diamond result, 93.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Fable 5 has a MMLU Pro result, 91.5%.
Directional only
Web design
Design Arena: websites
Claude Fable 5
Claude Fable 5 leads, 1295 against 1162.
Same board, both measured
Long documents
Listed context window
Claude Fable 5
Claude Fable 5 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.3-Codex
Claude Fable 5 $0.035, GPT-5.3-Codex $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.3-Codex
Claude Fable 5 $2.16, GPT-5.3-Codex $0.59.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, GPT-5.3-Codex 60.0 from 3 benchmarks.
- Widest category
- Web design, 22.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Claude Fable 5 1318 against GPT-5.3-Codex 1007, 38.9 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against GPT-5.3-Codex $14.00 per million output tokens, 3.6x apart.
- Context window
- Claude Fable 5 takes 1M tokens, GPT-5.3-Codex 400K.
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 | Claude Fable 5 | Bars | GPT-5.3-Codex | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 1 | ||
| Reasoning | 2 | 0 | ||
| Web design | 8 | 0 | ||
| General | 0 | 2 | ||
| All shared boards | 28 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | Not measured | Only Claude Fable 5 measured |
| LMArena WebDev | 1624 | 1407 | Claude Fable 5 |
| AA Coding Index | 76.5 | Not measured | Only Claude Fable 5 measured |
| LiveCodeBench (Vals AI) | 89.8% | 87.3% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 78.0% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | Not measured | Only Claude Fable 5 measured |
| Vibe Code Bench (Vals AI) | 90.3% | 61.8% | Claude Fable 5 |
| Code migration (Vals AI) | 55.1% | Not measured | Only Claude Fable 5 measured |
| ProgramBench (Vals AI) | 2.0% | Not measured | Only Claude Fable 5 measured |
| IOI (Vals AI) | Not measured | 53.8% | Only GPT-5.3-Codex measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | Not measured | Only Claude Fable 5 measured |
| SciCode | 61.0% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | 53.0% | Claude Fable 5 |
| Terminal-Bench | Not measured | 78.4% | Only GPT-5.3-Codex measured |
| FrontierCode | 53.5% | Not measured | Only Claude Fable 5 measured |
| FrontierSWE | 47.0% | Not measured | Only Claude Fable 5 measured |
| GSO-Bench | 78.4% | Not measured | Only Claude Fable 5 measured |
| WeirdML | 91.9% | 79.3% | Claude Fable 5 |
| MirrorCode | 63.9% | Not measured | Only Claude Fable 5 measured |
| ALE-Bench | 2041.3 | 1655.2 | Claude Fable 5 |
| LMArena Text: coding | 1518 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: software and IT | 1513 | Not measured | Only Claude Fable 5 measured |
| LMArena WebDev: React | 1631 | 1395 | Claude Fable 5 |
| LMArena WebDev: HTML | 1651 | 1422 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | 1443 | Claude Fable 5 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 32.5 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 157.1 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building web apps | 1261 | 1032 | Claude Fable 5 |
| Design Arena: agents building full-stack apps | 1280 | 983 | Claude Fable 5 |
| Design Arena: agents building mobile apps | 1264 | 1053 | Claude Fable 5 |
| Design Arena: agents building Android apps | 1284 | 1084 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 1124 | Claude Fable 5 |
| Design Arena: agents building games | 1285 | Not measured | Only Claude Fable 5 measured |
| Design Arena: HTML slides | 1227 | Not measured | Only Claude Fable 5 measured |
| Design Arena: PowerPoint slides | 1270 | Not measured | Only Claude Fable 5 measured |
| LiveBench research | 86.9% | Not measured | Only Claude Fable 5 measured |
| LiveBench browser | 92.0% | Not measured | Only Claude Fable 5 measured |
| LiveBench long agentic | 53.2% | Not measured | Only Claude Fable 5 measured |
| Finance Agent (Vals AI) | 56.3% | Not measured | Only Claude Fable 5 measured |
| Tax Agent Bench (Vals AI) | 38.3% | Not measured | Only Claude Fable 5 measured |
| Legal Research Bench (Vals AI) | 49.5% | Not measured | Only Claude Fable 5 measured |
| Excel Modeling Benchmark (Vals AI) | 73.7% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench-Science (Vals AI) | 15.7% | Not measured | Only Claude Fable 5 measured |
| τ²-Bench Telecom | 98.5% | 86.0% | Claude Fable 5 |
| APEX-Agents | 63.6% | Not measured | Only Claude Fable 5 measured |
| METR time horizons | Not measured | 74.5% | Only GPT-5.3-Codex measured |
| Remote Labor Index | 16.1% | Not measured | Only Claude Fable 5 measured |
| PostTrainBench | 41.8% | Not measured | Only Claude Fable 5 measured |
| Vending-Bench 2 | $5,680 | $5,940 | GPT-5.3-Codex |
| LMArena Search | 1229 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | Not measured | Only Claude Fable 5 measured |
| LiveBench reasoning | 89.7% | Not measured | Only Claude Fable 5 measured |
| MMMU Pro (Vals AI) | 89.3% | Not measured | Only Claude Fable 5 measured |
| GPQA Diamond (Artificial Analysis run) | 92.6% | 91.5% | Claude Fable 5 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 42.5% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | Not measured | Only Claude Fable 5 measured |
| ARC-AGI | 98.5% | Not measured | Only Claude Fable 5 measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Claude Fable 5 measured |
| SimpleBench | 81.9% | Not measured | Only Claude Fable 5 measured |
| Chess puzzles | 47.0% | Not measured | Only Claude Fable 5 measured |
| Mystery game puzzles | 52.0% | Not measured | Only Claude Fable 5 measured |
| EBR-bench | 39.5% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: hard prompts | 1507 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: expert | 1534 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: hard prompts in English | 1509 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: diagrams | 1357 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: homework | 1361 | Not measured | Only Claude Fable 5 measured |
| Kagi LLM Benchmark | 91.4% | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 4 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Claude Fable 5 measured |
| FrontierMath, tiers 1 to 3 | 87.0% | Not measured | Only Claude Fable 5 measured |
| FrontierMath, tier 4 | 90.2% | Not measured | Only Claude Fable 5 measured |
| ProofBench | 95.0% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: math | 1516 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: mathematical work | 1515 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | Not measured | Only Claude Fable 5 measured |
| LegalBench (Vals AI) | 88.6% | Not measured | Only Claude Fable 5 measured |
| CorpFin (Vals AI) | 71.8% | Not measured | Only Claude Fable 5 measured |
| TaxEval (Vals AI) | 76.9% | Not measured | Only Claude Fable 5 measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Claude Fable 5 measured |
| MedCode (Vals AI) | 56.1% | Not measured | Only Claude Fable 5 measured |
| SimpleQA Verified | 70.7% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: science | 1506 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: medicine and healthcare | 1480 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: legal and government | 1498 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: business and finance | 1480 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: websites | 1295 | 1162 | Claude Fable 5 |
| Design Arena: UI components | 1316 | 1134 | Claude Fable 5 |
| Design Arena: game dev | 1335 | 1161 | Claude Fable 5 |
| Design Arena: data viz | 1304 | 1164 | Claude Fable 5 |
| Design Arena: 3D | 1318 | 1007 | Claude Fable 5 |
| Design Arena: all code categories | 1310 | 1144 | Claude Fable 5 |
| Design Arena: SVG | 1302 | 1129 | Claude Fable 5 |
| Design Arena: ASCII art | 1329 | 1152 | Claude Fable 5 |
| LiveBench design | 84.7% | Not measured | Only Claude Fable 5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | Leader |
|---|---|---|---|
| LiveBench data analysis | 80.5% | Not measured | Only Claude Fable 5 measured |
| Public Benefits Bench (Vals AI) | 70.4% | Not measured | Only Claude Fable 5 measured |
| SAGE (Vals AI) | 51.9% | Not measured | Only Claude Fable 5 measured |
| MedScribe (Vals AI) | 88.5% | Not measured | Only Claude Fable 5 measured |
| Vals Multimodal Index | 74.2% | Not measured | Only Claude Fable 5 measured |
| IFBench | 63.5% | 75.4% | GPT-5.3-Codex |
| Long context reasoning (AA-LCR) | 82.3% | 83.3% | GPT-5.3-Codex |
| DTBench | 98.4% | Not measured | Only Claude Fable 5 measured |
| LMCA | 61.2% | Not measured | Only Claude Fable 5 measured |
| Surface Evolver Bench | 95.0% | Not measured | Only Claude Fable 5 measured |
| Furniture assembly | 35.8% | Not measured | Only Claude Fable 5 measured |
| LMArena Text | 1491 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: instruction following | 1502 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: creative writing | 1494 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision | 1325 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: English | 1498 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: non-English | 1482 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Chinese | 1543 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: German | 1486 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Japanese | 1504 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Korean | 1487 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: French | 1505 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Spanish | 1498 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Russian | 1503 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: Polish | 1494 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: multi-turn | 1504 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: longer queries | 1510 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: writing and language | 1501 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: entertainment and media | 1482 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: English | 1323 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: Chinese | 1373 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: reading text | 1337 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: humor | 1341 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: creative writing | 1338 | Not measured | Only Claude Fable 5 measured |
| LMArena Document | 1496 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5 | GPT-5.3-Codex | 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 costs less
Repository review
50K input + 3K output tokens
GPT-5.3-Codex costs less
Agent loop
200K input + 10K output tokens
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 | Anthropic Claude Fable 5 | OpenAI GPT-5.3-Codex |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | June 9, 2026 | February 24, 2026 |
| Context window | 1M | 400K |
| Input $/Mtok | $10.00 | $1.75 |
| Output $/Mtok | $50.00 | $14.00 |
| Coding index | 79.3 | 60.0 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $2.16 | $0.59 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than GPT-5.3-Codex for coding?
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 60.0 for GPT-5.3-Codex. Pick GPT-5.3-Codex for output tokens 3.6x cheaper ($14.00 vs $50.00 per million) and a lower cost per solved task ($0.59 against $2.16).
Which is cheaper, Claude Fable 5 or GPT-5.3-Codex?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-5.3-Codex costs $1.75 and $14.00. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and GPT-5.3-Codex $0.59.
Which has the bigger context window, Claude Fable 5 or GPT-5.3-Codex?
Claude Fable 5, with 1M tokens against 400K.
How many benchmarks is the Claude Fable 5 vs GPT-5.3-Codex comparison based on?
31 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and GPT-5.3-Codex's on 3. Where only one model has a result, the page says so instead of naming a winner.