Claude Fable 5 vs Qwen3.8 Max (0902)
Claude Fable 5 leads Qwen3.8 Max (0902) on coding, 79.3 to 62.4 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 8.3x less per output token ($6.00 vs $50.00 per million). Updated October 22, 2026; 106 benchmarks have a result for both.
Claude Fable 5 or Qwen3.8 Max (0902): which to pick
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902).
Pick Qwen3.8 Max (0902) for output tokens 8.3x cheaper ($6.00 vs $50.00 per million) and a lower cost per solved task ($1.32 against $2.16).
- Shared results
- 106
- Claude Fable 5 only
- 21
- Qwen3.8 Max (0902) only
- 7
- Like-for-like categories
- 8 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 62.4.
6 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 45.4.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 50.7.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% against 93.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Fable 5
Claude Fable 5 leads, 91.5% against 88.6%.
Same board, both measured
Web design
Design Arena: websites
Claude Fable 5
Claude Fable 5 leads, 1295 against 1275.
Same board, both measured
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Claude Fable 5 $0.035, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.8 Max (0902)
Claude Fable 5 $2.16, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
- Widest category
- Math, 16.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Fable 5 92.0% against Qwen3.8 Max (0902) 32.0%, 60.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 8.3x apart.
- Context window
- Both take 1M tokens.
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 | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 14 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 4 | ||
| Reasoning | 10 | 3 | ||
| Math | 5 | 0 | 1 tie | |
| Knowledge | 8 | 3 | ||
| Web design | 6 | 2 | ||
| General | 32 | 0 | ||
| All shared boards | 90 | 15 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index143
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | 60.3% | Claude Fable 5 |
| LMArena WebDev | 1624 | 1674 | Qwen3.8 Max (0902) |
| AA Coding Index | 76.5 | 76.2 | Claude Fable 5 |
| LiveCodeBench (Vals AI) | 89.8% | 87.8% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 85.6% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | 34.3% | Claude Fable 5 |
| Vibe Code Bench (Vals AI) | 90.3% | 64.7% | Claude Fable 5 |
| Code migration (Vals AI) | 55.1% | 24.0% | Claude Fable 5 |
| ProgramBench (Vals AI) | 2.0% | 0.0% | Claude Fable 5 |
| IOI (Vals AI) | Not measured | 68.9% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | 67.4% | Claude Fable 5 |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.5% | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 12.8% | Only Qwen3.8 Max (0902) measured |
| SkillsBench (Vals AI) | Not measured | 42.0% | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | Not measured | 28.6% | Only Qwen3.8 Max (0902) measured |
| SciCode | 61.0% | 53.2% | Claude Fable 5 |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | Not measured | Only Claude Fable 5 measured |
| FrontierCode | 53.5% | Not measured | Only Claude Fable 5 measured |
| FrontierSWE | 47.0% | 17.8% | Claude Fable 5 |
| GSO-Bench | 78.4% | Not measured | Only Claude Fable 5 measured |
| WeirdML | 91.9% | Not measured | Only Claude Fable 5 measured |
| MirrorCode | 63.9% | Not measured | Only Claude Fable 5 measured |
| ALE-Bench | 2041.3 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: coding | 1518 | 1502 | Claude Fable 5 |
| LMArena Text: software and IT | 1513 | 1498 | Claude Fable 5 |
| LMArena WebDev: React | 1631 | 1692 | Qwen3.8 Max (0902) |
| LMArena WebDev: HTML | 1651 | 1649 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | 1637 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 45.4 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 157.4 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index134
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | 56.0 | Qwen3.8 Max (0902) |
| Design Arena: agents building web apps | 1261 | 1300 | Qwen3.8 Max (0902) |
| Design Arena: agents building full-stack apps | 1280 | 1305 | Qwen3.8 Max (0902) |
| Design Arena: agents building mobile apps | 1264 | 1224 | Claude Fable 5 |
| Design Arena: agents building Android apps | 1284 | 1196 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 1234 | 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 | 1233 | Claude Fable 5 |
| Design Arena: spreadsheets | Not measured | 967 | Only Qwen3.8 Max (0902) measured |
| LiveBench research | 86.9% | 69.9% | Claude Fable 5 |
| LiveBench browser | 92.0% | 32.0% | Claude Fable 5 |
| LiveBench long agentic | 53.2% | 42.3% | Claude Fable 5 |
| Finance Agent (Vals AI) | 56.3% | 50.6% | Claude Fable 5 |
| Tax Agent Bench (Vals AI) | 38.3% | 32.1% | Claude Fable 5 |
| Legal Research Bench (Vals AI) | 49.5% | 47.6% | Claude Fable 5 |
| Excel Modeling Benchmark (Vals AI) | 73.7% | 60.1% | Claude Fable 5 |
| Terminal-Bench-Science (Vals AI) | 15.7% | 12.9% | Claude Fable 5 |
| τ²-Bench Telecom | 98.5% | Not measured | Only Claude Fable 5 measured |
| APEX-Agents | 63.6% | 63.3% | Claude Fable 5 |
| 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 | Not measured | Only Claude Fable 5 measured |
| LMArena Search | 1229 | 1261 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | 93.7% | Qwen3.8 Max (0902) |
| LiveBench reasoning | 89.7% | 88.2% | Claude Fable 5 |
| MysteryMechanism (Vals AI) | Not measured | 23.9% | Only Qwen3.8 Max (0902) measured |
| MMMU Pro (Vals AI) | 89.3% | 88.0% | Claude Fable 5 |
| GPQA Diamond (Artificial Analysis run) | 92.6% | 92.8% | Qwen3.8 Max (0902) |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 43.1% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | 92.7% | Qwen3.8 Max (0902) |
| 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% | 46.0% | Claude Fable 5 |
| Mystery game puzzles | 52.0% | 38.0% | Claude Fable 5 |
| EBR-bench | 39.5% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: hard prompts | 1507 | 1496 | Claude Fable 5 |
| LMArena Text: expert | 1534 | 1507 | Claude Fable 5 |
| LMArena Text: hard prompts in English | 1509 | 1503 | Claude Fable 5 |
| LMArena Vision: diagrams | 1357 | 1323 | Claude Fable 5 |
| LMArena Vision: homework | 1361 | 1336 | Claude Fable 5 |
| Kagi LLM Benchmark | 91.4% | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 100.0% | Tie |
| FrontierMath, tiers 1 to 3 | 87.0% | 74.7% | Claude Fable 5 |
| FrontierMath, tier 4 | 90.2% | 46.3% | Claude Fable 5 |
| ProofBench | 95.0% | 58.0% | Claude Fable 5 |
| LMArena Text: math | 1516 | 1501 | Claude Fable 5 |
| LMArena Text: mathematical work | 1515 | 1491 | Claude Fable 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | 88.6% | Claude Fable 5 |
| LegalBench (Vals AI) | 88.6% | 83.6% | Claude Fable 5 |
| CorpFin (Vals AI) | 71.8% | 65.8% | Claude Fable 5 |
| TaxEval (Vals AI) | 76.9% | 75.5% | Claude Fable 5 |
| MortgageTax (Vals AI) | 68.9% | 64.0% | Claude Fable 5 |
| MedCode (Vals AI) | 56.1% | 40.7% | Claude Fable 5 |
| SimpleQA Verified | 70.7% | 47.3% | Claude Fable 5 |
| LMArena Text: science | 1506 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1480 | 1503 | Qwen3.8 Max (0902) |
| LMArena Text: legal and government | 1498 | 1492 | Claude Fable 5 |
| LMArena Text: business and finance | 1480 | 1480 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1295 | 1275 | Claude Fable 5 |
| Design Arena: UI components | 1316 | 1338 | Qwen3.8 Max (0902) |
| Design Arena: game dev | 1335 | 1312 | Claude Fable 5 |
| Design Arena: data viz | 1304 | 1281 | Claude Fable 5 |
| Design Arena: 3D | 1318 | 1336 | Qwen3.8 Max (0902) |
| Design Arena: all code categories | 1310 | 1293 | Claude Fable 5 |
| Design Arena: SVG | 1302 | Not measured | Only Claude Fable 5 measured |
| Design Arena: ASCII art | 1329 | 1200 | Claude Fable 5 |
| LiveBench design | 84.7% | 78.6% | Claude Fable 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index320
| Benchmark | Claude Fable 5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench data analysis | 80.5% | 78.4% | Claude Fable 5 |
| Public Benefits Bench (Vals AI) | 70.4% | 67.1% | Claude Fable 5 |
| SAGE (Vals AI) | 51.9% | 51.2% | Claude Fable 5 |
| MedScribe (Vals AI) | 88.5% | 85.0% | Claude Fable 5 |
| Vals Multimodal Index | 74.2% | 65.4% | Claude Fable 5 |
| IFBench | 63.5% | Not measured | Only Claude Fable 5 measured |
| Long context reasoning (AA-LCR) | 82.3% | 80.3% | Claude Fable 5 |
| DTBench | 98.4% | 92.0% | Claude Fable 5 |
| LMCA | 61.2% | 46.2% | Claude Fable 5 |
| Surface Evolver Bench | 95.0% | Not measured | Only Claude Fable 5 measured |
| Furniture assembly | 35.8% | 20.0% | Claude Fable 5 |
| LMArena Text | 1491 | 1483 | Claude Fable 5 |
| LMArena Text: instruction following | 1502 | 1481 | Claude Fable 5 |
| LMArena Text: creative writing | 1494 | 1477 | Claude Fable 5 |
| LMArena Vision | 1325 | 1313 | Claude Fable 5 |
| LMArena Text: English | 1498 | 1491 | Claude Fable 5 |
| LMArena Text: non-English | 1482 | 1473 | Claude Fable 5 |
| LMArena Text: Chinese | 1543 | 1539 | Claude Fable 5 |
| LMArena Text: German | 1486 | 1478 | Claude Fable 5 |
| LMArena Text: Japanese | 1504 | 1473 | Claude Fable 5 |
| LMArena Text: Korean | 1487 | 1460 | Claude Fable 5 |
| LMArena Text: French | 1505 | 1498 | Claude Fable 5 |
| LMArena Text: Spanish | 1498 | 1489 | Claude Fable 5 |
| LMArena Text: Russian | 1503 | 1482 | Claude Fable 5 |
| LMArena Text: Polish | 1494 | 1471 | Claude Fable 5 |
| LMArena Text: multi-turn | 1504 | 1489 | Claude Fable 5 |
| LMArena Text: longer queries | 1510 | 1488 | Claude Fable 5 |
| LMArena Text: writing and language | 1501 | 1477 | Claude Fable 5 |
| LMArena Text: entertainment and media | 1482 | 1464 | Claude Fable 5 |
| LMArena Vision: English | 1323 | 1311 | Claude Fable 5 |
| LMArena Vision: Chinese | 1373 | 1358 | Claude Fable 5 |
| LMArena Vision: reading text | 1337 | 1322 | Claude Fable 5 |
| LMArena Vision: humor | 1341 | 1304 | Claude Fable 5 |
| LMArena Vision: creative writing | 1338 | 1312 | Claude Fable 5 |
| 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 | Qwen3.8 Max (0902) | 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
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Max (0902) 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 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | June 9, 2026 | September 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $10.00 | $2.00 |
| Output $/Mtok | $50.00 | $6.00 |
| Coding index | 79.3 | 62.4 |
| Independent measurements behind it | 6 | 5 |
| Cost per solved task | $2.16 | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than Qwen3.8 Max (0902) for coding?
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) for output tokens 8.3x cheaper ($6.00 vs $50.00 per million) and a lower cost per solved task ($1.32 against $2.16).
Which is cheaper, Claude Fable 5 or Qwen3.8 Max (0902)?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and Qwen3.8 Max (0902) $1.32.
Which has the bigger context window, Claude Fable 5 or Qwen3.8 Max (0902)?
Neither: both take 1M tokens.
How many benchmarks is the Claude Fable 5 vs Qwen3.8 Max (0902) comparison based on?
106 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.