Claude Fable 5 vs Qwen3.7 Max
Claude Fable 5 leads Qwen3.7 Max on coding, 79.3 to 54.1 on the Vibe Coding Index, and Qwen3.7 Max costs 11.3x less per output token ($4.425 vs $50.00 per million). Updated October 22, 2026; 59 benchmarks have a result for both.
Claude Fable 5 or Qwen3.7 Max: which to pick
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.
Pick Qwen3.7 Max for output tokens 11.3x cheaper ($4.425 vs $50.00 per million) and work measured by GPQA Diamond (Epoch AI run) or IFBench, where it leads.
- Shared results
- 59
- Claude Fable 5 only
- 68
- Qwen3.7 Max only
- 0
- 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 54.1.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Claude Fable 5
Claude Fable 5 leads, 50.7 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Claude Fable 5
Claude Fable 5 leads, 93.2% against 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Fable 5
Claude Fable 5 leads, 91.5% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
Claude Fable 5
Claude Fable 5 leads, 1295 against 1274.
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
Qwen3.7 Max
Claude Fable 5 $0.035, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Fable 5
Claude Fable 5 $2.16, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
- Widest category
- Math, 38.0 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Fable 5 95.0% against Qwen3.7 Max 26.0%, 69.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against Qwen3.7 Max $4.425 per million output tokens, 11.3x 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 | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 14 | 0 | ||
| Reasoning | 7 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 8 | 0 | ||
| General | 4 | 1 | ||
| All shared boards | 57 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | Not measured | Only Claude Fable 5 measured |
| LMArena WebDev | 1624 | 1515 | Claude Fable 5 |
| AA Coding Index | 76.5 | 66.0 | Claude Fable 5 |
| LiveCodeBench (Vals AI) | 89.8% | 87.1% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 68.8% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | Not measured | Only Claude Fable 5 measured |
| Vibe Code Bench (Vals AI) | 90.3% | 47.7% | Claude Fable 5 |
| Code migration (Vals AI) | 55.1% | 13.1% | Claude Fable 5 |
| ProgramBench (Vals AI) | 2.0% | Not measured | Only Claude Fable 5 measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | 61.0% | Claude Fable 5 |
| SciCode | 61.0% | 49.5% | Claude Fable 5 |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | 50.8% | Claude Fable 5 |
| 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 | 1189.4 | 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 | 1514 | Claude Fable 5 |
| LMArena WebDev: HTML | 1651 | 1512 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 29.5 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 154.0 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index140
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | 22.5 | Claude Fable 5 |
| Design Arena: agents building web apps | 1261 | 1208 | Claude Fable 5 |
| Design Arena: agents building full-stack apps | 1280 | 1191 | Claude Fable 5 |
| Design Arena: agents building mobile apps | 1264 | 1155 | Claude Fable 5 |
| Design Arena: agents building Android apps | 1284 | 1159 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 1187 | Claude Fable 5 |
| Design Arena: agents building games | 1285 | 1161 | Claude Fable 5 |
| Design Arena: HTML slides | 1227 | 1108 | Claude Fable 5 |
| Design Arena: PowerPoint slides | 1270 | 1171 | Claude Fable 5 |
| 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% | 47.8% | Claude Fable 5 |
| Tax Agent Bench (Vals AI) | 38.3% | 15.8% | Claude Fable 5 |
| Legal Research Bench (Vals AI) | 49.5% | 25.5% | Claude Fable 5 |
| Excel Modeling Benchmark (Vals AI) | 73.7% | 57.0% | Claude Fable 5 |
| Terminal-Bench-Science (Vals AI) | 15.7% | Not measured | Only Claude Fable 5 measured |
| τ²-Bench Telecom | 98.5% | 94.7% | Claude Fable 5 |
| APEX-Agents | 63.6% | Not measured | Only Claude Fable 5 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 | 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 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | 90.2% | Claude Fable 5 |
| 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% | 92.3% | Claude Fable 5 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 40.5% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | 90.9% | Qwen3.7 Max |
| 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% | 70.4% | Claude Fable 5 |
| Chess puzzles | 47.0% | 26.0% | Claude Fable 5 |
| Mystery game puzzles | 52.0% | 32.0% | Claude Fable 5 |
| EBR-bench | 39.5% | 9.5% | Claude Fable 5 |
| 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 | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 95.6% | Claude Fable 5 |
| FrontierMath, tiers 1 to 3 | 87.0% | 64.6% | Claude Fable 5 |
| FrontierMath, tier 4 | 90.2% | 34.1% | Claude Fable 5 |
| ProofBench | 95.0% | 26.0% | Claude Fable 5 |
| 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 | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | 89.3% | Claude Fable 5 |
| LegalBench (Vals AI) | 88.6% | 84.9% | Claude Fable 5 |
| CorpFin (Vals AI) | 71.8% | 63.7% | Claude Fable 5 |
| TaxEval (Vals AI) | 76.9% | 75.3% | Claude Fable 5 |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Claude Fable 5 measured |
| MedCode (Vals AI) | 56.1% | 38.8% | Claude Fable 5 |
| SimpleQA Verified | 70.7% | 55.8% | Claude Fable 5 |
| 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 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1295 | 1274 | Claude Fable 5 |
| Design Arena: UI components | 1316 | 1267 | Claude Fable 5 |
| Design Arena: game dev | 1335 | 1264 | Claude Fable 5 |
| Design Arena: data viz | 1304 | 1275 | Claude Fable 5 |
| Design Arena: 3D | 1318 | 1265 | Claude Fable 5 |
| Design Arena: all code categories | 1310 | 1275 | Claude Fable 5 |
| Design Arena: SVG | 1302 | 1216 | Claude Fable 5 |
| Design Arena: ASCII art | 1329 | 1211 | 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 index41
| Benchmark | Claude Fable 5 | Qwen3.7 Max | 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% | 79.4% | Claude Fable 5 |
| Vals Multimodal Index | 74.2% | Not measured | Only Claude Fable 5 measured |
| IFBench | 63.5% | 80.5% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 82.3% | 79.0% | Claude Fable 5 |
| DTBench | 98.4% | 92.3% | Claude Fable 5 |
| LMCA | 61.2% | 44.0% | Claude Fable 5 |
| 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 | Qwen3.7 Max | 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
Qwen3.7 Max costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Max costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Max 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 | Qwen3.7 Max |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | June 9, 2026 | May 21, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $10.00 | $1.475 |
| Output $/Mtok | $50.00 | $4.425 |
| Coding index | 79.3 | 54.1 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $2.16 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than Qwen3.7 Max for coding?
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for output tokens 11.3x cheaper ($4.425 vs $50.00 per million) and work measured by GPQA Diamond (Epoch AI run) or IFBench, where it leads.
Which is cheaper, Claude Fable 5 or Qwen3.7 Max?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and Qwen3.7 Max $4.69.
Which has the bigger context window, Claude Fable 5 or Qwen3.7 Max?
Neither: both take 1M tokens.
How many benchmarks is the Claude Fable 5 vs Qwen3.7 Max comparison based on?
59 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.