Claude Fable 5.2 vs Qwen3.8 27B
Claude Fable 5.2 leads Qwen3.8 27B on coding, 87.8 to 69.7 on the Vibe Coding Index, and Qwen3.8 27B costs 15.7x less per output token ($2.55 vs $40.00 per million). Updated November 14, 2026; 34 benchmarks have a result for both.
Claude Fable 5.2 or Qwen3.8 27B: which to pick
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 69.7 for Qwen3.8 27B.
Pick Qwen3.8 27B for output tokens 15.7x cheaper ($2.55 vs $40.00 per million) and a larger context window (1.02M against 1M tokens).
- Shared results
- 34
- Claude Fable 5.2 only
- 34
- Qwen3.8 27B only
- 59
- 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 5.2
Claude Fable 5.2 scores 87.8 against 69.7.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Fable 5.2
Claude Fable 5.2 leads, 64.6 against 20.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 27B has a AA Agentic Index result, 45.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 27B has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 27B has a MMLU Pro result, 84.3%.
Directional only
Web design
Design Arena: websites
No call
Only Claude Fable 5.2 has a Design Arena: websites result, 1351.
Directional only
General
Vals Index
No call
Only Claude Fable 5.2 has a Vals Index result, 71.3%.
Directional only
Long documents
Listed context window
Qwen3.8 27B
Qwen3.8 27B takes 1.02M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Claude Fable 5.2 $0.028, Qwen3.8 27B $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 27B has the number, $1.26.
Directional only
At a glance
- Coding index
- Claude Fable 5.2 87.8 from 4 benchmarks, Qwen3.8 27B 69.7 from 4 benchmarks.
- Widest category
- Math, 84.0 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: Claude Fable 5.2 100.0% against Qwen3.8 27B 16.0%, 84.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5.2 $40.00 against Qwen3.8 27B $2.55 per million output tokens, 15.7x apart.
- Context window
- Claude Fable 5.2 takes 1M tokens, Qwen3.8 27B 1.02M.
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 5.2 | Bars | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 1 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 1 | 0 | ||
| General | 5 | 0 | ||
| All shared boards | 34 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 79.2% | 69.3% | Claude Fable 5.2 |
| LMArena WebDev | 1838 | 1590 | Claude Fable 5.2 |
| AA Coding Index | Not measured | 68.1 | Only Qwen3.8 27B measured |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only Qwen3.8 27B measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.0% | Only Qwen3.8 27B measured |
| Terminal-Bench 4 (Vals AI) | 65.2% | Not measured | Only Claude Fable 5.2 measured |
| Vibe Code Bench (Vals AI) | 93.8% | 64.8% | Claude Fable 5.2 |
| Code migration (Vals AI) | Not measured | 14.2% | Only Qwen3.8 27B measured |
| ProgramBench (Vals AI) | 19.0% | 0.0% | Claude Fable 5.2 |
| IOI (Vals AI) | Not measured | 39.1% | Only Qwen3.8 27B measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 58.4% | Only Qwen3.8 27B measured |
| SWE-bench Multimodal (Vals AI) | 62.3% | Not measured | Only Claude Fable 5.2 measured |
| 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 | 67.7% | 46.6% | Claude Fable 5.2 |
| Terminal-Bench 4.0 (Artificial Analysis run) | 61.6% | 5.6% | Claude Fable 5.2 |
| FrontierCode 2.0 | 49.1% | 14.9% | Claude Fable 5.2 |
| FrontierSWE | 69.9% | Not measured | Only Claude Fable 5.2 measured |
| ALE-Bench | 2509.8 | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: coding | Not measured | 1479 | Only Qwen3.8 27B measured |
| LMArena Text: software and IT | Not measured | 1474 | Only Qwen3.8 27B measured |
| LMArena WebDev: React | 1915 | 1596 | Claude Fable 5.2 |
| LMArena WebDev: HTML | 1738 | 1570 | Claude Fable 5.2 |
| LMArena WebDev: from an image | Not measured | 1574 | Only Qwen3.8 27B measured |
| GameBench 2 | 99.1 | 43.8 | Claude Fable 5.2 |
| CursorBench 4.0 | 60.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 64.6 | 20.1 | Claude Fable 5.2 |
| Epoch Capabilities Index | 173.4 | 152.6 | Claude Fable 5.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 45.8 | Only Qwen3.8 27B measured |
| Design Arena: agents building full-stack apps | 1402 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: agents building mobile apps | 1325 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: spreadsheets | 1434 | Not measured | Only Claude Fable 5.2 measured |
| LiveBench research | 94.5% | 61.3% | Claude Fable 5.2 |
| LiveBench browser | 86.9% | 24.2% | Claude Fable 5.2 |
| LiveBench long agentic | 82.9% | 15.9% | Claude Fable 5.2 |
| Finance Agent (Vals AI) | Not measured | 48.5% | Only Qwen3.8 27B measured |
| Tax Agent Bench (Vals AI) | 32.1% | 30.9% | Claude Fable 5.2 |
| Legal Research Bench (Vals AI) | 46.1% | 36.1% | Claude Fable 5.2 |
| Harvey's Legal Agent Benchmark (Vals AI) | 5.0% | Not measured | Only Claude Fable 5.2 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 59.7% | Only Qwen3.8 27B measured |
| BioMysteryBench (Vals AI) | 83.7% | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench-Science (Vals AI) | 55.7% | 0.0% | Claude Fable 5.2 |
| Vals Science Index | 63.7% | Not measured | Only Claude Fable 5.2 measured |
| APEX-Agents | 80.1% | 47.5% | Claude Fable 5.2 |
| Remote Labor Index | 41.3% | Not measured | Only Claude Fable 5.2 measured |
| SpireClimb | 15.5% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 88.9% | Only Qwen3.8 27B measured |
| LiveBench reasoning | 88.8% | 80.0% | Claude Fable 5.2 |
| MysteryMechanism (Vals AI) | 51.8% | Not measured | Only Claude Fable 5.2 measured |
| MMMU Pro (Vals AI) | Not measured | 83.9% | Only Qwen3.8 27B measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.5% | Only Qwen3.8 27B measured |
| Humanity's Last Exam (Artificial Analysis run) | 74.3% | 33.9% | Claude Fable 5.2 |
| HLE-Diamond (Artificial Analysis run) | 80.2% | 15.3% | Claude Fable 5.2 |
| CritPt v2, hard subset (Artificial Analysis run) | 76.5% | 16.5% | Claude Fable 5.2 |
| GPQA Diamond (Epoch AI run) | 93.9% | Not measured | Only Claude Fable 5.2 measured |
| ARC-AGI | 98.5% | 87.5% | Claude Fable 5.2 |
| ARC-AGI-2 | 93.8% | 42.4% | Claude Fable 5.2 |
| SimpleBench | 94.9% | 60.2% | Claude Fable 5.2 |
| Chess puzzles | 79.0% | Not measured | Only Claude Fable 5.2 measured |
| Mystery game puzzles | 90.0% | Not measured | Only Claude Fable 5.2 measured |
| EBR-bench | 90.5% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: hard prompts | Not measured | 1456 | Only Qwen3.8 27B measured |
| LMArena Text: expert | Not measured | 1479 | Only Qwen3.8 27B measured |
| LMArena Text: hard prompts in English | Not measured | 1462 | Only Qwen3.8 27B measured |
| LMArena Vision: diagrams | Not measured | 1281 | Only Qwen3.8 27B measured |
| LMArena Vision: homework | Not measured | 1284 | Only Qwen3.8 27B measured |
| Humanity's Last Exam (Scale run) | 72.4% | Not measured | Only Claude Fable 5.2 measured |
| GoBench | 2566 | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | Not measured | Only Claude Fable 5.2 measured |
| FrontierMath, tiers 1 to 3 | 95.1% | Not measured | Only Claude Fable 5.2 measured |
| FrontierMath, tier 4 | 100.0% | Not measured | Only Claude Fable 5.2 measured |
| ProofBench | 100.0% | 16.0% | Claude Fable 5.2 |
| LMArena Text: math | Not measured | 1455 | Only Qwen3.8 27B measured |
| LMArena Text: mathematical work | Not measured | 1461 | Only Qwen3.8 27B measured |
| MathArena | 82.8% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.3% | Only Qwen3.8 27B measured |
| LegalBench (Vals AI) | Not measured | 82.4% | Only Qwen3.8 27B measured |
| TaxEval (Vals AI) | Not measured | 70.8% | Only Qwen3.8 27B measured |
| MortgageTax (Vals AI) | Not measured | 64.9% | Only Qwen3.8 27B measured |
| MedCode (Vals AI) | Not measured | 28.7% | Only Qwen3.8 27B measured |
| AA-Omniscience | 66.8 | -6.4 | Claude Fable 5.2 |
| SimpleQA Verified | 94.0% | Not measured | Only Claude Fable 5.2 measured |
| GeoBench | Not measured | 38.0% | Only Qwen3.8 27B measured |
| LMArena Text: science | Not measured | 1463 | Only Qwen3.8 27B measured |
| LMArena Text: medicine and healthcare | Not measured | 1439 | Only Qwen3.8 27B measured |
| LMArena Text: legal and government | Not measured | 1446 | Only Qwen3.8 27B measured |
| LMArena Text: business and finance | Not measured | 1440 | Only Qwen3.8 27B measured |
| PRBench Finance | 47.1% | Not measured | Only Claude Fable 5.2 measured |
| PRBench Legal | 49.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1351 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: UI components | 1371 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: game dev | 1396 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: 3D | 1517 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: all code categories | 1373 | Not measured | Only Claude Fable 5.2 measured |
| LiveBench design | 85.1% | 72.4% | Claude Fable 5.2 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| Vals Index | 71.3% | Not measured | Only Claude Fable 5.2 measured |
| LiveBench data analysis | 81.5% | 76.6% | Claude Fable 5.2 |
| MedScribe (Vals AI) | Not measured | 83.8% | Only Qwen3.8 27B measured |
| Long context reasoning (AA-LCR) | 83.3% | 82.0% | Claude Fable 5.2 |
| GDPval-AA | 1831 | 1426 | Claude Fable 5.2 |
| DTBench | 99.2% | 88.0% | Claude Fable 5.2 |
| LMCA | 70.6% | 41.4% | Claude Fable 5.2 |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B measured |
| Furniture assembly | 90.0% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text | Not measured | 1437 | Only Qwen3.8 27B measured |
| LMArena Text: instruction following | Not measured | 1431 | Only Qwen3.8 27B measured |
| LMArena Text: creative writing | Not measured | 1377 | Only Qwen3.8 27B measured |
| LMArena Vision | Not measured | 1270 | Only Qwen3.8 27B measured |
| LMArena Text: English | Not measured | 1447 | Only Qwen3.8 27B measured |
| LMArena Text: non-English | Not measured | 1424 | Only Qwen3.8 27B measured |
| LMArena Text: Chinese | Not measured | 1493 | Only Qwen3.8 27B measured |
| LMArena Text: German | Not measured | 1436 | Only Qwen3.8 27B measured |
| LMArena Text: Japanese | Not measured | 1398 | Only Qwen3.8 27B measured |
| LMArena Text: Korean | Not measured | 1389 | Only Qwen3.8 27B measured |
| LMArena Text: French | Not measured | 1466 | Only Qwen3.8 27B measured |
| LMArena Text: Spanish | Not measured | 1443 | Only Qwen3.8 27B measured |
| LMArena Text: Russian | Not measured | 1408 | Only Qwen3.8 27B measured |
| LMArena Text: Polish | Not measured | 1441 | Only Qwen3.8 27B measured |
| LMArena Text: multi-turn | Not measured | 1436 | Only Qwen3.8 27B measured |
| LMArena Text: longer queries | Not measured | 1446 | Only Qwen3.8 27B measured |
| LMArena Text: writing and language | Not measured | 1401 | Only Qwen3.8 27B measured |
| LMArena Text: entertainment and media | Not measured | 1388 | Only Qwen3.8 27B measured |
| LMArena Vision: English | Not measured | 1272 | Only Qwen3.8 27B measured |
| LMArena Vision: Chinese | Not measured | 1327 | Only Qwen3.8 27B measured |
| LMArena Vision: reading text | Not measured | 1280 | Only Qwen3.8 27B measured |
| LMArena Vision: humor | Not measured | 1245 | Only Qwen3.8 27B measured |
| LMArena Vision: creative writing | Not measured | 1234 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5.2 | 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 5.2 | Qwen3.8 27B |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | August 14, 2026 |
| Context window | 1M | 1.02M |
| Input $/Mtok | $8.00 | $0.425 |
| Output $/Mtok | $40.00 | $2.55 |
| Coding index | 87.8 | 69.7 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5.2 better than Qwen3.8 27B for coding?
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 69.7 for Qwen3.8 27B. Pick Qwen3.8 27B for output tokens 15.7x cheaper ($2.55 vs $40.00 per million) and a larger context window (1.02M against 1M tokens).
Which is cheaper, Claude Fable 5.2 or Qwen3.8 27B?
Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Cost per solved task is known for Qwen3.8 27B only.
Which has the bigger context window, Claude Fable 5.2 or Qwen3.8 27B?
Qwen3.8 27B, with 1.02M tokens against 1M.
How many benchmarks is the Claude Fable 5.2 vs Qwen3.8 27B comparison based on?
34 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2's coding index rests on 4 independent benchmarks and Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.