Claude Fable 5 vs Qwen3.8 27B
Updated October 21, 2026. 82 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 73.6 for Qwen3.8 27B.
Pick Qwen3.8 27B when output tokens cost 37.0x less, or when a solved task costs $1.26 against $2.16.
- Shared results
- 82
- Claude Fable 5 only
- 44
- Qwen3.8 27B only
- 3
- Like-for-like categories
- 8 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
Claude Fable 5
Claude Fable 5 scores 82.1 against 73.6.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
Claude Fable 5
Claude Fable 5 leads, 50.7 against 45.8.
Same board, both measured
Reasoning
GPQA Diamond
Claude Fable 5
Claude Fable 5 leads, 93.2% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Claude Fable 5
Claude Fable 5 leads, 91.5% against 84.3%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Fable 5 has a Design Arena: websites result, 1296.
Directional only
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Claude Fable 5 $0.035, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.8 27B
Claude Fable 5 $2.16, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 82.1 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Math, 33.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Claude Fable 5 95.0% against Qwen3.8 27B 16.0%, 79.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against Qwen3.8 27B $1.35 per million output tokens, 37.0x 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 27B | Ties |
|---|---|---|---|---|
| Coding | 15 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 0 | ||
| Reasoning | 12 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 9 | 0 | ||
| Web design | 1 | 0 | ||
| General | 29 | 1 | ||
| All shared boards | 81 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index150
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | 86.8% | Claude Fable 5 |
| LMArena WebDev | 1624 | 1593 | Claude Fable 5 |
| AA Coding Index | 76.5 | 68.1 | Claude Fable 5 |
| LiveCodeBench (Vals AI) | 89.8% | 84.0% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 86.0% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | Not measured | Only Claude Fable 5 measured |
| Vibe Code Bench (Vals AI) | 90.3% | 64.8% | Claude Fable 5 |
| Code migration (Vals AI) | 55.1% | 14.2% | Claude Fable 5 |
| ProgramBench (Vals AI) | 2.0% | 0.0% | Claude Fable 5 |
| IOI (Vals AI) | Not measured | 39.1% | Only Qwen3.8 27B measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | 58.4% | Claude Fable 5 |
| SkillsBench (Vals AI) | Not measured | 38.1% | Only Qwen3.8 27B measured |
| CyberBench (Vals AI) | Not measured | 67.8% | Only Qwen3.8 27B measured |
| SciCode | 61.0% | 46.6% | 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% | Not measured | Only Claude Fable 5 measured |
| 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 | 1483 | Claude Fable 5 |
| LMArena Text: software and IT | 1513 | 1478 | Claude Fable 5 |
| LMArena WebDev: React | 1631 | 1602 | Claude Fable 5 |
| LMArena WebDev: HTML | 1651 | 1570 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | 1577 | Claude Fable 5 |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 33.7 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 151.7 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | 45.8 | Claude Fable 5 |
| Design Arena: agents building web apps | 1261 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building full-stack apps | 1280 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building mobile apps | 1264 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building Android apps | 1289 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building Godot games | 1292 | Not measured | Only Claude Fable 5 measured |
| Design Arena: agents building games | 1285 | Not measured | Only Claude Fable 5 measured |
| Design Arena: HTML slides | 1277 | Not measured | Only Claude Fable 5 measured |
| Design Arena: PowerPoint slides | 1295 | Not measured | Only Claude Fable 5 measured |
| LiveBench research | 86.9% | 59.4% | Claude Fable 5 |
| LiveBench browser | 92.0% | 32.0% | Claude Fable 5 |
| LiveBench long agentic | 53.2% | 27.9% | Claude Fable 5 |
| Finance Agent (Vals AI) | 56.3% | 48.5% | Claude Fable 5 |
| Tax Agent Bench (Vals AI) | 38.3% | 30.9% | Claude Fable 5 |
| Legal Research Bench (Vals AI) | 49.5% | 36.1% | Claude Fable 5 |
| Excel Modeling Benchmark (Vals AI) | 73.7% | 59.7% | Claude Fable 5 |
| Terminal-Bench-Science (Vals AI) | 15.7% | 0.0% | Claude Fable 5 |
| τ²-Bench Telecom | 98.5% | Not measured | Only Claude Fable 5 measured |
| APEX-Agents | 63.6% | 47.5% | 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 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | 88.9% | Claude Fable 5 |
| LiveBench reasoning | 89.7% | 80.0% | Claude Fable 5 |
| MMMU Pro (Vals AI) | 89.3% | 83.9% | Claude Fable 5 |
| GPQA Diamond (Artificial Analysis run) | 92.6% | 90.5% | Claude Fable 5 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 33.9% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | Not measured | Only Claude Fable 5 measured |
| ARC-AGI | 98.5% | 87.5% | Claude Fable 5 |
| ARC-AGI-2 | 89.2% | 42.4% | Claude Fable 5 |
| 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 | 1459 | Claude Fable 5 |
| LMArena Text: expert | 1534 | 1479 | Claude Fable 5 |
| LMArena Text: hard prompts in English | 1509 | 1461 | Claude Fable 5 |
| LMArena Vision: diagrams | 1357 | 1285 | Claude Fable 5 |
| LMArena Vision: homework | 1361 | 1295 | Claude Fable 5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Fable 5 | Qwen3.8 27B | 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% | 16.0% | Claude Fable 5 |
| LMArena Text: math | 1516 | 1455 | Claude Fable 5 |
| LMArena Text: mathematical work | 1515 | 1458 | 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 index90
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | 84.3% | Claude Fable 5 |
| LegalBench (Vals AI) | 88.6% | 82.4% | Claude Fable 5 |
| CorpFin (Vals AI) | 71.8% | Not measured | Only Claude Fable 5 measured |
| TaxEval (Vals AI) | 76.9% | 70.8% | Claude Fable 5 |
| MortgageTax (Vals AI) | 68.9% | 64.9% | Claude Fable 5 |
| MedCode (Vals AI) | 56.1% | 28.7% | Claude Fable 5 |
| SimpleQA Verified | 70.7% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: science | 1506 | 1467 | Claude Fable 5 |
| LMArena Text: medicine and healthcare | 1480 | 1437 | Claude Fable 5 |
| LMArena Text: legal and government | 1498 | 1447 | Claude Fable 5 |
| LMArena Text: business and finance | 1480 | 1438 | Claude Fable 5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1296 | Not measured | Only Claude Fable 5 measured |
| Design Arena: UI components | 1318 | Not measured | Only Claude Fable 5 measured |
| Design Arena: game dev | 1336 | Not measured | Only Claude Fable 5 measured |
| Design Arena: data viz | 1304 | Not measured | Only Claude Fable 5 measured |
| Design Arena: 3D | 1319 | Not measured | Only Claude Fable 5 measured |
| Design Arena: all code categories | 1310 | Not measured | Only Claude Fable 5 measured |
| Design Arena: SVG | 1302 | Not measured | Only Claude Fable 5 measured |
| Design Arena: ASCII art | 1328 | Not measured | Only Claude Fable 5 measured |
| LiveBench design | 84.7% | 75.9% | Claude Fable 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
| Benchmark | Claude Fable 5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 80.5% | 76.6% | Claude Fable 5 |
| Public Benefits Bench (Vals AI) | 70.4% | Not measured | Only Claude Fable 5 measured |
| SAGE (Vals AI) | 51.9% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 88.5% | 83.8% | Claude Fable 5 |
| Vals Multimodal Index | 74.2% | Not measured | Only Claude Fable 5 measured |
| IFBench | 63.5% | Not measured | Only Claude Fable 5 measured |
| Long context reasoning (AA-LCR) | 82.3% | 82.0% | Claude Fable 5 |
| DTBench | 98.4% | 88.0% | Claude Fable 5 |
| LMCA | 61.2% | 41.4% | Claude Fable 5 |
| Surface Evolver Bench | 95.0% | 45.0% | Claude Fable 5 |
| Furniture assembly | 35.8% | Not measured | Only Claude Fable 5 measured |
| LMArena Text | 1491 | 1440 | Claude Fable 5 |
| LMArena Text: instruction following | 1502 | 1436 | Claude Fable 5 |
| LMArena Text: creative writing | 1494 | 1383 | Claude Fable 5 |
| LMArena Vision | 1325 | 1269 | Claude Fable 5 |
| LMArena Text: English | 1498 | 1448 | Claude Fable 5 |
| LMArena Text: non-English | 1482 | 1428 | Claude Fable 5 |
| LMArena Text: Chinese | 1543 | 1501 | Claude Fable 5 |
| LMArena Text: German | 1486 | 1443 | Claude Fable 5 |
| LMArena Text: Japanese | 1504 | 1387 | Claude Fable 5 |
| LMArena Text: Korean | 1487 | 1384 | Claude Fable 5 |
| LMArena Text: French | 1505 | 1465 | Claude Fable 5 |
| LMArena Text: Spanish | 1498 | 1449 | Claude Fable 5 |
| LMArena Text: Russian | 1503 | 1415 | Claude Fable 5 |
| LMArena Text: Polish | 1494 | 1439 | Claude Fable 5 |
| LMArena Text: multi-turn | 1504 | 1440 | Claude Fable 5 |
| LMArena Text: longer queries | 1510 | 1448 | Claude Fable 5 |
| LMArena Text: writing and language | 1501 | 1405 | Claude Fable 5 |
| LMArena Text: entertainment and media | 1482 | 1393 | Claude Fable 5 |
| LMArena Vision: English | 1323 | 1267 | Claude Fable 5 |
| LMArena Vision: Chinese | 1373 | 1326 | Claude Fable 5 |
| LMArena Vision: reading text | 1337 | 1281 | Claude Fable 5 |
| LMArena Vision: humor | 1341 | 1235 | Claude Fable 5 |
| LMArena Vision: creative writing | 1338 | 1237 | 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 27B | 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 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 27B 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 27B |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | Open weights |
| Released | June 9, 2026 | August 14, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $10.00 | $0.04 |
| Output $/Mtok | $50.00 | $1.35 |
| Coding index | 82.1 | 73.6 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $2.16 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than Qwen3.8 27B for coding?
Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 73.6 for Qwen3.8 27B. Pick Qwen3.8 27B when output tokens cost 37.0x less, or when a solved task costs $1.26 against $2.16.
Which is cheaper, Claude Fable 5 or Qwen3.8 27B?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and Qwen3.8 27B $1.26.
Which has the bigger context window, Claude Fable 5 or Qwen3.8 27B?
Neither: both take 1M tokens.
How many benchmarks is the Claude Fable 5 vs Qwen3.8 27B comparison based on?
82 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 2 independent benchmarks and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.