Claude Fable 5 vs Inkling 2 Small
Full profiles: Claude Fable 5 (Anthropic) and Inkling 2 Small (Thinking Machines): every benchmark, price and rank.
Updated · Data from 12 sources
As of 13 Nov 2026, Claude Fable 5 is ahead of Inkling 2 Small on quality (66.3 vs 57.9 on the BenchLeader Index), but Inkling 2 Small is 42× cheaper at $0.475 vs $20.00 per 1M tokens blended. Claude Fable 5 leads in every category we measure both in. Inkling 2 Small streams ~2× faster.
Key facts (as of 13 Nov 2026)
- Claude Fable 5 scores 66.3 on the BenchLeader Index and Inkling 2 Small scores 57.9 (BenchLeader, 13 Nov 2026).
- Claude Fable 5 costs $20.00 per 1M tokens blended (list price, 13 Nov 2026).
- Inkling 2 Small costs $0.475 per 1M tokens blended (list price, 13 Nov 2026).
- Inkling 2 Small streams ~2× faster than Claude Fable 5 (Artificial Analysis, 7-day median, 13 Nov 2026).
- Of the 10 benchmarks both models have, Claude Fable 5 leads 6 (BenchLeader, 13 Nov 2026).
Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | Claude Fable 5 | 71 vs 60 category score; ProgramBench 2.0% vs 0.5% | High |
| Agents & tool use | Either | 62 vs 61 category score; MCP Atlas 83.3% vs 85.4% | Either |
| Reasoning | Claude Fable 5 | 80 vs 53 category score | High |
| Knowledge | Claude Fable 5 | 67 vs 54 category score | High |
| Chat quality (human preference) | Claude Fable 5 | 68 vs 59 on Arena votes | High |
| Lowest cost | Inkling 2 Small | $0.475 vs $20.00 per 1M blended; agentic coding session $0.022 vs $0.800 | – |
| Fastest first answer | Claude Fable 5 | 3.4 s (Claude Fable 5) vs 63.9 s (Inkling 2 Small) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Claude Fable 5 leads on quality: 66.3 vs 57.9.
- Claude Fable 5 is stronger in agents & tools, coding, human preference, knowledge, reasoning.
- Inkling 2 Small is 42× cheaper ($0.475 vs $20.00 per 1M blended).
- Inkling 2 Small streams 1.6× faster (90 vs 56 tokens per second).
At a glance
| Spec | Claude Fable 5 | Inkling 2 Small |
|---|---|---|
| Developer | Anthropic | Thinking Machines |
| Released | 9 Jun 2026 | 5 Nov 2026 |
| Context window (tokens) | 1,000,000 | 1,048,576 |
| Compared at | Claude Fable 5 | Inkling 2 Small |
| Open weights | No | No |
| Price in / out / cached input per 1M | $10.00 / $50.00 / $1.00 | $0.300 / $1.00 / – |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Claude Fable 5 | Inkling 2 Small | Leader |
|---|---|---|---|
| Reasoning | 80.1 | 52.8 | Claude Fable 5 |
| Coding | 70.5 | 60.3 | Claude Fable 5 |
| Agents & tools | 61.6 | 61.1 | level |
| Knowledge | 66.7 | 53.5 | Claude Fable 5 |
| Human preference | 67.7 | 58.6 | Claude Fable 5 |
| Multimodal | – | 64.0 | not comparable |
| Long context | – | 66.4 | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Maths, Instruction following, Long context, Multimodal.
Where sources disagree
Across the 10 benchmarks both have, Claude Fable 5 leads 6, Inkling 2 Small leads 4. Every overall index that rates both puts Claude Fable 5 ahead.
| Overall index | Claude Fable 5 | Inkling 2 Small | Leader |
|---|---|---|---|
| BenchLeader Index | 66.3 | 57.9 | Claude Fable 5 |
| Arena Text | 1504† | 1412 | Claude Fable 5 |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Claude Fable 5 | Inkling 2 Small |
|---|---|---|
| Blended price per 1M tokens | $20.00 | $0.475 |
| Input / output per 1M | $10.00 / $50.00 | $0.300 / $1.00 |
| Cached input per 1M | $1.00 | – |
| Price per task: chat reply | $0.019 | $0.0004 |
| Price per task: summarize a 30-page report | $0.150 | $0.0042 |
| Price per task: code edit | $0.135 | $0.0033 |
| Price per task: agentic coding session | $0.800 | $0.022 |
| Price per task: structured extraction | $0.030 | $0.0008 |
| Agentic coding session, input mostly cached | $0.395 | – |
| Cost per benchmark task (AA Index) | – | $1.18 |
| Output tokens per task (AA Index) | – | 150k |
| Of which reasoning | – | 88k |
| Time per task (AA Index) | – | 28 min |
| Output speed | 56 tok/s | 90 tok/s |
| Time to first answer | 3.4 s | 63.9 s |
| Time to a complete answer | – | 163.6 s |
Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5 scores 66.3 and takes 3 s to its first answer token; Claude Fable 5 (max) scores 65.0 in 84 s, Claude Fable 5 (high) scores 63.9 in 3 s. Inkling 2 Small scores 57.9 and takes 64 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
142 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Claude Fable 5 | Inkling 2 Small |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 66.3 | 57.9 |
| Agents & tools score | BenchLeader | 61.6 | 61.1 |
| Coding score | BenchLeader | 70.5 | 60.3 |
| Human preference score | BenchLeader | 67.7 | 58.6 |
| Knowledge score | BenchLeader | 66.7 | 53.5 |
| Reasoning score | BenchLeader | 80.1 | 52.8 |
| Long context score | BenchLeader | – | 66.4 |
| Multimodal score | BenchLeader | – | 64.0 |
| Blended price $/M | BenchLeader | $20.00 | $0.475 |
| Output speed | BenchLeader | 56 tok/s | 90 tok/s |
| Time to first answer | BenchLeader | 3.4 s | 63.9 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 85.9%† | – |
| SimpleBench | SimpleBench | 81.9%† | – |
| Arena Hard Prompts | Arena (LMArena) | 1530† | 1438 |
| LiveBench 1.0 Reasoning | LiveBench | 89.7%† | – |
| GPQA Diamond (AA) | Artificial Analysis | 92.6%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 55.5%† | 44.1% |
| HLE-Diamond (AA) | Artificial Analysis | – | 28.7% |
| GPQA Diamond (Vals) | Vals AI | 93.2% | – |
| EnigmaEval | Scale AI SEAL | 39.3%† | – |
| Kagi LLM Benchmark | Kagi LLM Benchmark | 88.8% | – |
| ARC-AGI-1 | ARC Prize | 98.5%† | 96.5%† |
| ARC-AGI-2 | ARC Prize | 89.2%† | 81.7%† |
| CritPt | Artificial Analysis | 28.6%† | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | – | 35.0% |
| MysteryMechanism | Vals AI | – | 25.2% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 47.0%† | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 52.0%† | – |
| LMCA | Epoch AI Benchmarking Hub | 60.3%† | – |
| DTBench | Epoch AI Benchmarking Hub | 98.4%† | – |
| ForecastBench | ForecastBench | 65.9%† | – |
| BTF-3 | Epoch AI Benchmarking Hub | 13.0%† | – |
| Coding | |||
| SciCode | SciCode | 61.0%† | 52.3% |
| WeirdML | WeirdML | 91.9%† | – |
| FrontierCode | Cognition | 53.5% | – |
| GSO-Bench | GSO-Bench | 78.4% | – |
Show all 142 benchmarks
| Metric | Publisher | Claude Fable 5 | Inkling 2 Small |
|---|---|---|---|
| Coding | |||
| Arena Coding | Arena (LMArena) | 1552† | 1485 |
| Arena WebDev | Arena (LMArena) | 1625† | 1647 |
| LiveBench 1.0 Coding | LiveBench | 86.0%† | – |
| LiveCodeBench | Vals AI | 89.8% | – |
| SWE-bench (Vals) | Vals AI | 95.0% | – |
| Code Migration | Vals AI | 55.1% | – |
| ProgramBench | Vals AI | 2.0% | 0.5% |
| SWE-bench Multimodal | Vals AI | – | 43.1% |
| Vibe Code Bench v1.1 | Vals AI | 90.3% | 81.5% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | 39.0%† | – |
| SWE Atlas: Refactoring | Scale AI SEAL | 54.8%† | – |
| SWE Atlas: Test Writing | Scale AI SEAL | 55.6%† | – |
| MirrorCode | Epoch AI Benchmarking Hub | 70.0%† | – |
| Surface Evolver Bench | Epoch AI Benchmarking Hub | 95.0%† | – |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | 69.7%† | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 2041.3† | – |
| FrontierSWE | Epoch AI Benchmarking Hub | 47.0%† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 42.4%† | 13.1% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 84.6%† | 81.3% |
| Startrise Frontend | Startrise | 73.8% | – |
| GameBench 2 Overall | DuelLab GameBench 2 | 65.5 | – |
| GameBench 2 by reasoning setting | DuelLab GameBench 2 | 58.4† | – |
| Design Arena Website | Design Arena | 1288 | 1335 |
| FrontierCode 2.0 (AA) | Artificial Analysis | – | 25.4% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 44.9%† | 13.0%† |
| Remote Labor Index | Scale AI / CAIS | 16.1% | – |
| APEX-Agents | Mercor | 63.6% | 46.8% |
| Arena Agent | Arena (LMArena) | 7.3† | 2.5 |
| LiveBench Agentic Coding | LiveBench | 62.2%† | – |
| Terminal-Bench Hard | Artificial Analysis | 62.9%† | – |
| τ²-Bench Telecom (AA) | Artificial Analysis | 98.5%† | – |
| Terminal-Bench 2.1 (Vals) | Vals AI | 80.5% | – |
| MCP Atlas | Scale AI SEAL | 83.3% | 85.4% |
| HiL-Bench | Scale AI SEAL | 56.3% | – |
| τ³-bench Banking | τ²-bench | 39.7%† | – |
| GDPval-AA v2.1 | Artificial Analysis | – | 1630 |
| τ³-Banking (AA) | Artificial Analysis | 38.1%† | 40.4% |
| Analyst Agent (AA) | Artificial Analysis | 48.8%† | 51.3% |
| CyberBench | Vals AI | – | 72.7% |
| Finance Agent v2 | Vals AI | 56.3% | – |
| Finance Agent v2.1 | Vals AI | – | 67.5% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | – | 21.7% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 11.3% | – |
| Legal Research Bench | Vals AI | 49.5% | 46.6% |
| SREBench | Vals AI | – | 1.9% |
| Tax Agent Bench | Vals AI | 38.3% | 38.9% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 41.4% | 12.6% |
| Terminal-Bench Science | Vals AI | 15.7% | 2.9% |
| Web Search Index | Vals AI | 46.9% | – |
| Arena Search | Arena (LMArena) | 1229† | – |
| PostTrainBench | Epoch AI Benchmarking Hub | 37.3%† | – |
| GBAEval | Epoch AI Benchmarking Hub | 74.5% | – |
| Vending-Bench 2 | Andon Labs | 4529.9 | – |
| AutomationBench | Artificial Analysis | 54.1%† | 45.6% |
| GDP.pdf (AA) | Artificial Analysis | 24.0%† | 25.2% |
| EnterpriseOps-Gym | Artificial Analysis | 51.1%† | 46.8% |
| AA-Briefcase v1.1 | Artificial Analysis | 1535† | 1527 |
| Design Arena Agentic | Design Arena | 1266 | 1374 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | – | 5.7% |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 87.0%† | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 90.2%† | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 99.7%† | – |
| ProofBench | Vals AI | 95.0%† | – |
| LiveBench Mathematics | LiveBench | 96.0%† | – |
| Arena Maths | Arena (LMArena) | 1520† | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 70.7%† | – |
| LiveBench 1.0 Data Analysis | LiveBench | 80.5%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | – | 16.1 |
| MMLU-Pro | Vals AI | 91.5% | – |
| LegalBench | Vals AI | 88.6% | – |
| CorpFin | Vals AI | 71.8% | – |
| TaxEval | Vals AI | 76.9% | – |
| PRBench Finance | Scale AI SEAL | 53.9% | – |
| PRBench Legal | Scale AI SEAL | 52.6% | – |
| BioMysteryBench | Vals AI | – | 70.0% |
| Excel Modeling Benchmark | Vals AI | 73.7% | – |
| Excel Modeling Benchmark v1.1 | Vals AI | – | 69.5% |
| MedCode | Vals AI | 56.1% | – |
| MedScribe | Vals AI | 88.5% | – |
| Public Benefits Bench v1.1 | Vals AI | 70.4% | – |
| EBR-bench | Epoch AI Benchmarking Hub | 39.5%† | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 30.0% | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | – | 33.8% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | – | 73.3% |
| Instruction following | |||
| LiveBench Language | LiveBench | 90.7%† | – |
| LiveBench Instruction Following | LiveBench | 75.8%† | – |
| IFBench | Artificial Analysis | 63.5%† | – |
| Arena Instruction Following | Arena (LMArena) | 1509† | 1410 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1504† | 1412 |
| EQ-Bench 4 | EQ-Bench | 1313 | – |
| Arena Creative Writing | Arena (LMArena) | 1501† | 1345 |
| Arena Multi-turn | Arena (LMArena) | 1517† | 1415 |
| Arena Longer Queries | Arena (LMArena) | 1522† | 1410 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1326† | – |
| MMMU-Pro | Artificial Analysis | – | 81.6% |
| MMMU-Pro (Vals) | Vals AI | 89.3% | – |
| MortgageTax | Vals AI | 68.9% | – |
| SAGE | Vals AI | – | 88.6% |
| GeoBench | GeoBench | 89.0%† | – |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 38.6% | – |
| Code2Video-AA | Artificial Analysis | – | 1020 |
| AA-3D | Artificial Analysis | – | 1027 |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 82.3%† | 83.3% |
| Arena Document | Arena (LMArena) | 1500† | – |
| MLCR | Artificial Analysis | 20.6%† | 20.6% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 164.1 | – |
| LiveBench 1.0 | LiveBench | 83.0%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | – | 30.6 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 49.6† | – |
| AA Progress Index v1 | Artificial Analysis | 329.3† | – |
| Vals Index | Vals AI | – | 56.1 |
| Vals Finance Index | Vals AI | – | 61.5% |
| Vals RSI Index | Vals AI | 24.3%† | – |
| Vals Science Index | Vals AI | – | 32.7% |
| Vals Multimodal Index | Vals AI | 74.2% | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 16.2% |
| Metadata | |||
| AA Openness Index | Artificial Analysis | – | 38.9 |
Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.
DuelLab GameBench 2, release gb2-20261110-2acac640a228 (https://benchmarks.duellab.org/releases/gb2-20261110-2acac640a228/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.
What changed
- Inkling 2 Small: BenchLeader Index 58.4 → 57.9.
- Inkling 2 Small: 2 new results (FORTRESS, Design Arena Agentic).
- Inkling 2 Small: 2 new results (MysteryMechanism, Vals Science Index); 1 score revision.
- Inkling 2 Small: 3 new results (SciCode, APEX-Agents, MLCR).
- Inkling 2 Small: 8 new results (Arena Text, Arena Hard Prompts, Arena Coding…); 2 score revisions.
- Inkling 2 Small: BenchLeader Index 57.5 → 58.4.
- Inkling 2 Small: 1 new result (Arena WebDev).
- Inkling 2 Small: first results.
- Claude Fable 5: 1 score revision.
- Claude Fable 5: 1 score revision.
Related comparisons
- Claude Fable 5 vs Claude Fable 5.2
- Claude Fable 5 vs Gemini 4 Carbon
- Claude Fable 5 vs Claude Opus 5.5
- Inkling 2 Small vs Gemini 4 Carbon
- Inkling 2 Small vs Claude Opus 5.5
- Inkling 2 Small vs GPT-6 Astra
- Inkling 2 Small vs Claude Fable 5.1
- Claude Sonnet 4.6 vs Inkling 2 Small
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Claude Fable 5 vs Inkling 2 Small: questions
- Is Claude Fable 5 better than Inkling 2 Small?
- Claude Fable 5 leads on quality: 66.3 vs 57.9. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5 is ahead overall as of 13 Nov 2026, but check the category scores for your use.
- Claude Fable 5 vs Inkling 2 Small: which is cheaper, and will that change?
- Inkling 2 Small is cheaper today: $0.475 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Claude Fable 5 or Inkling 2 Small better for coding?
- Claude Fable 5 scores higher in coding (71 vs 60 on the category index, where 50 is average).
- Which is faster, Claude Fable 5 or Inkling 2 Small?
- Inkling 2 Small streams ~2× faster (90 vs 56 output tokens per second, Artificial Analysis 7-day median).
- Is Claude Fable 5 or Inkling 2 Small better for agents and tool use?
- They are level in agentic tasks (62 vs 61 on the category index). On MCP Atlas, the top shared agents & tools benchmark, it is 83.3% for Claude Fable 5 against 85.4% for Inkling 2 Small.
More questions (4)
- Which is better for long documents?
- Both take about 1M tokens: Claude Fable 5 1,000,000, Inkling 2 Small 1,048,576.
- Which has lower latency?
- Claude Fable 5 answers first: 3.4 s against 63.9 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Do independent benchmarks agree on Claude Fable 5 vs Inkling 2 Small?
- Across the 10 benchmarks both have, Claude Fable 5 leads 6, Inkling 2 Small leads 4. Every overall index that rates both puts Claude Fable 5 ahead.
- When was Inkling 2 Small released?
- Inkling 2 Small was released on 5 Nov 2026.