Claude Opus 5.5 vs Inkling 2 Small
Full profiles: Claude Opus 5.5 (Anthropic) and Inkling 2 Small (Thinking Machines): every benchmark, price and rank.
Updated · Data from 13 sources
As of 13 Nov 2026, Claude Opus 5.5 is ahead of Inkling 2 Small on quality (68.4 vs 57.9 on the BenchLeader Index), but Inkling 2 Small is 17× cheaper at $0.475 vs $8.00 per 1M tokens blended. Claude Opus 5.5 leads in every category we measure both in. Inkling 2 Small streams faster.
Key facts (as of 13 Nov 2026)
- Claude Opus 5.5 scores 68.4 on the BenchLeader Index and Inkling 2 Small scores 57.9 (BenchLeader, 13 Nov 2026).
- Claude Opus 5.5 costs $8.00 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 faster than Claude Opus 5.5 (Artificial Analysis, 7-day median, 13 Nov 2026).
- Of the 24 benchmarks both models have, Claude Opus 5.5 leads 22 (BenchLeader, 13 Nov 2026).
- On Arena WebDev, Claude Opus 5.5 is rated 1815 and Inkling 2 Small 1647 (LMArena, as published by 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 Opus 5.5 | 80 vs 60 category score; Arena WebDev 1815 vs 1647 | High |
| Agents & tool use | Either | 62 vs 61 category score; APEX-Agents 73.5% vs 46.8% | Either |
| Reasoning | Claude Opus 5.5 | 72 vs 53 category score; HLE-Diamond (AA) 67.9% vs 28.7% | High |
| Knowledge | Claude Opus 5.5 | 73 vs 54 category score; AA-Omniscience v1.1 48.1 vs 16.1 | High |
| Long documents | Either | 67 vs 66 category score; AA-LCR v1.1 84.7% vs 83.3% | Either |
| Images and other media | Claude Opus 5.5 | 70 vs 64 category score; MMMU-Pro 87.7% vs 81.6% | Medium |
| Chat quality (human preference) | – | Only Inkling 2 Small has an Arena rating (59 category score) | Not comparable |
| Lowest cost | Inkling 2 Small | $0.475 vs $8.00 per 1M blended; agentic coding session $0.022 vs $0.320 | – |
| Fastest first answer | Inkling 2 Small | 63.9 s (Inkling 2 Small) vs 347.9 s (Claude Opus 5.5 (max)) 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 Opus 5.5 (max) leads on quality: 68.4 vs 57.9.
- Claude Opus 5.5 (max) is stronger in agents & tools, coding, knowledge, long context, multimodal, reasoning.
- Inkling 2 Small is 17× cheaper ($0.475 vs $8.00 per 1M blended).
At a glance
| Spec | Claude Opus 5.5 | Inkling 2 Small |
|---|---|---|
| Developer | Anthropic | Thinking Machines |
| Released | 22 Sep 2026 | 5 Nov 2026 |
| Context window (tokens) | 1,000,000 | 1,048,576 |
| Max output (tokens) | 128,000 (up to 300K on the Message Batches API (beta)) | – |
| Input types | text, image | – |
| Reasoning effort settings | low, medium, high, xhigh, max | – |
| Compared at | Claude Opus 5.5 (max) | Inkling 2 Small |
| Open weights | No | No |
| Price in / out / cached input per 1M | $4.00 / $20.00 / $0.200 | $0.300 / $1.00 / – |
| API model ID | claude-opus-5-5 | – |
| Where to use it | Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry | – |
Limits, availability and announced prices from the vendors' own pages: platform.claude.com (checked 20 Oct 2026). Everything else is from the day's data.
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 Opus 5.5 (max) | Inkling 2 Small | Leader |
|---|---|---|---|
| Reasoning | 72.0 | 52.8 | Claude Opus 5.5 |
| Coding | 79.8 | 60.3 | Claude Opus 5.5 |
| Agents & tools | 61.8 | 61.1 | level |
| Maths | 73.2 | – | not comparable |
| Knowledge | 72.5 | 53.5 | Claude Opus 5.5 |
| Human preference | – | 58.6 | not comparable |
| Multimodal | 70.2 | 64.0 | Claude Opus 5.5 |
| Long context | 67.1 | 66.4 | level |
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, Human preference.
Where sources disagree
Across the 24 benchmarks both have, Claude Opus 5.5 leads 22, Inkling 2 Small leads 2. Every overall index that rates both puts Claude Opus 5.5 ahead.
| Overall index | Claude Opus 5.5 (max) | Inkling 2 Small | Leader |
|---|---|---|---|
| BenchLeader Index | 68.4 | 57.9 | Claude Opus 5.5 |
| AA Intelligence Index v5.0 | 59.1 | 30.6 | Claude Opus 5.5 |
| Vals Index | 70.1† | 56.1 | Claude Opus 5.5 |
| Arena Text | 1507† | 1412 | Claude Opus 5.5 |
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 Opus 5.5 (max) | Inkling 2 Small |
|---|---|---|
| Blended price per 1M tokens | $8.00 | $0.475 |
| Input / output per 1M | $4.00 / $20.00 | $0.300 / $1.00 |
| Cached input per 1M | $0.200 | – |
| Price per task: chat reply | $0.0076 | $0.0004 |
| Price per task: summarize a 30-page report | $0.060 | $0.0042 |
| Price per task: code edit | $0.054 | $0.0033 |
| Price per task: agentic coding session | $0.320 | $0.022 |
| Price per task: structured extraction | $0.012 | $0.0008 |
| Agentic coding session, input mostly cached | $0.149 | – |
| Cost per benchmark task (AA Index) | $10.04 | $1.18 |
| Output tokens per task (AA Index) | 173k | 150k |
| Of which reasoning | 120k | 88k |
| Time per task (AA Index) | 25 min | 28 min |
| Output speed | 115 tok/s | 90 tok/s |
| Time to first answer | 347.9 s | 63.9 s |
| Time to a complete answer | 711.4 s | 163.6 s |
Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $10.04 on Claude Opus 5.5 (max) and $1.18 on Inkling 2 Small, and Claude Opus 5.5 (max) wrote 1.2× as many output tokens for the same work.
Each model is compared at its best-ranked reasoning-effort setting. Claude Opus 5.5 (max) scores 68.4 and takes 348 s to its first answer token; Claude Opus 5.5 (xhigh) scores 65.4 in 79 s, Claude Opus 5.5 (high) scores 65.3 in 25 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
140 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 Opus 5.5 (max) | Inkling 2 Small |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 68.4 | 57.9 |
| Agents & tools score | BenchLeader | 61.8 | 61.1 |
| Coding score | BenchLeader | 79.8 | 60.3 |
| Knowledge score | BenchLeader | 72.5 | 53.5 |
| Long context score | BenchLeader | 67.1 | 66.4 |
| Maths score | BenchLeader | 73.2 | – |
| Multimodal score | BenchLeader | 70.2 | 64.0 |
| Reasoning score | BenchLeader | 72.0 | 52.8 |
| Human preference score | BenchLeader | – | 58.6 |
| Blended price $/M | BenchLeader | $8.00 | $0.475 |
| Output speed | BenchLeader | 115 tok/s | 90 tok/s |
| Time to first answer | BenchLeader | 347.9 s | 63.9 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 90.6% | – |
| SimpleBench | SimpleBench | 88.4%† | – |
| Arena Hard Prompts | Arena (LMArena) | 1530† | 1438 |
| LiveBench 2.0 Reasoning | LiveBench | 92.2%† | – |
| LiveBench 1.0 Reasoning | LiveBench | 92.2% | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 61.4% | 44.1% |
| HLE-Diamond (AA) | Artificial Analysis | 67.9% | 28.7% |
| ARC-AGI-1 | ARC Prize | 97.5% | 96.5%† |
| ARC-AGI-2 | ARC Prize | 91.7% | 81.7%† |
| CritPt | Artificial Analysis | 31.7% | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | 68.0% | 35.0% |
| MysteryMechanism | Vals AI | 49.5%† | 25.2% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 67.0% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 71.0% | – |
| LMCA | Epoch AI Benchmarking Hub | 68.2% | – |
| DTBench | Epoch AI Benchmarking Hub | 98.9% | – |
| Coding | |||
| SciCode | SciCode | 66.9% | 52.3% |
| FrontierCode | Cognition | 54.6%† | – |
| Arena Coding | Arena (LMArena) | 1548† | 1485 |
| Arena WebDev | Arena (LMArena) | 1815 | 1647 |
| LiveBench 2.0 Coding | LiveBench | 87.1%† | – |
| LiveBench 1.0 Coding | LiveBench | 89.3% | – |
| IOI | Vals AI | 95.1%† | – |
| Code Migration | Vals AI | 66.7%† | – |
| Code Migration v1.1 | Vals AI | 81.0%† | – |
Show all 140 benchmarks
| Metric | Publisher | Claude Opus 5.5 (max) | Inkling 2 Small |
|---|---|---|---|
| Coding | |||
| ProgramBench | Vals AI | 18.5%† | 0.5% |
| SWE-bench Multimodal | Vals AI | 70.2%† | 43.1% |
| Vibe Code Bench 1-100 | Vals AI | 30.4%† | – |
| Vibe Code Bench v1.1 | Vals AI | 90.3%† | 81.5% |
| MirrorCode | Epoch AI Benchmarking Hub | 95.6% | – |
| CursorBench | Cursor | 57.8% | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 2147.4† | – |
| FrontierSWE | Epoch AI Benchmarking Hub | 62.3% | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.6% | 13.1% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | – | 81.3% |
| Startrise Frontend | Startrise | 71.1%† | – |
| GameBench 2 Overall | DuelLab GameBench 2 | 87.6† | – |
| GameBench 2 by reasoning setting | DuelLab GameBench 2 | 94.9† | – |
| Design Arena Website | Design Arena | 1326† | 1335 |
| FrontierCode 1.1 (AA) | Artificial Analysis | 52.2% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 46.4% | 25.4% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 65.8% | 13.0%† |
| Remote Labor Index | Scale AI / CAIS | 21.3%† | – |
| APEX-Agents | Mercor | 73.5% | 46.8% |
| Arena Agent | Arena (LMArena) | 19.5 | 2.5 |
| LiveBench Long Agentic | LiveBench | 72.8%† | – |
| LiveBench Browser | LiveBench | 88.4%† | – |
| LiveBench Agentic Coding | LiveBench | 71.7% | – |
| Terminal-Bench 2.1 (Vals) | Vals AI | 87.6%† | – |
| MCP Atlas | Scale AI SEAL | 85.4%† | 85.4% |
| HiL-Bench | Scale AI SEAL | 59.0%† | – |
| GDPval-AA v2.1, normalised score | Artificial Analysis | 68.3% | – |
| GDPval-AA v2.1 | Artificial Analysis | 1866 | 1630 |
| τ³-Banking (AA) | Artificial Analysis | – | 40.4% |
| ITBench SRE (AA) | Artificial Analysis | 38.2% | – |
| Analyst Agent (AA) | Artificial Analysis | 56.3% | 51.3% |
| CUA-bench | Vals AI | 14.0% | – |
| CyberBench | Vals AI | 55.4%† | 72.7% |
| Finance Agent v2 | Vals AI | 58.6%† | – |
| Finance Agent v2.1 | Vals AI | 67.8%† | 67.5% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 9.2%† | 21.7% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 3.8%† | – |
| Legal Research Bench | Vals AI | 50.5%† | 46.6% |
| Robo-bench | Vals AI | 14.6% | – |
| SREBench | Vals AI | 33.6%† | 1.9% |
| Tax Agent Bench | Vals AI | 44.5%† | 38.9% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 65.2%† | 12.6% |
| Terminal-Bench Science | Vals AI | 47.1%† | 2.9% |
| Time Horizon Index: KSP | Vals AI | 91.3%† | – |
| Web Search Index | Vals AI | 53.8%† | – |
| Arena Search | Arena (LMArena) | 1213† | – |
| PostTrainBench | Epoch AI Benchmarking Hub | 43.8% | – |
| Vending-Bench 2 | Andon Labs | 9235.3† | – |
| AutomationBench | Artificial Analysis | 69.5% | 45.6% |
| GDP.pdf (AA) | Artificial Analysis | 26.2% | 25.2% |
| Harvey LAB-AA v1.1 | Harvey | 4.2% | – |
| EnterpriseOps-Gym | Artificial Analysis | – | 46.8% |
| AA-Briefcase v1.1 | Artificial Analysis | 1801 | 1527 |
| GDPx | GDPx by SemiAnalysis | 12.0% | – |
| Design Arena Agentic | Design Arena | 1332† | 1374 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 59.0% | 5.7% |
| CWE-Bench (AA) | Artificial Analysis | 58.3% | – |
| DeepSec-Bench (AA) | Artificial Analysis | 26.9% | – |
| CyberGym end-to-end (AA) | Artificial Analysis | 0.8% | – |
| FACTS Search | 88.4%† | – | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 91.2% | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 95.0% | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0% | – |
| ProofBench | Vals AI | 100.0% | – |
| LiveBench Mathematics | LiveBench | 97.1% | – |
| Arena Maths | Arena (LMArena) | 1514† | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 72.2% | – |
| LiveBench 2.0 Data Analysis | LiveBench | 80.3%† | – |
| LiveBench Research | LiveBench | 88.9%† | – |
| LiveBench 1.0 Data Analysis | LiveBench | 80.3% | – |
| AA-Omniscience v1.1 | Artificial Analysis | 48.1 | 16.1 |
| PRBench Legal | Scale AI SEAL | 47.6%† | – |
| BioMysteryBench | Vals AI | 79.3%† | 70.0% |
| ClaimBench | Vals AI | 100.0%† | – |
| Excel Modeling Benchmark | Vals AI | 75.9%† | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | 69.5% |
| MedCode | Vals AI | 49.8%† | – |
| MedScribe | Vals AI | 91.4%† | – |
| Public Benefits Bench v1.1 | Vals AI | 70.6%† | – |
| EBR-bench | Epoch AI Benchmarking Hub | 71.4% | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 30.6% | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 65.5% | 33.8% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 49.7% | 73.3% |
| HealthBench Professional (AA) | OpenAI | 59.9% | – |
| Instruction following | |||
| LiveBench Language | LiveBench | 86.3% | – |
| LiveBench Instruction Following | LiveBench | 65.7% | – |
| Arena Instruction Following | Arena (LMArena) | 1518† | 1410 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1507† | 1412 |
| EQ-Bench 4 | EQ-Bench | 1340† | – |
| Arena Creative Writing | Arena (LMArena) | 1517† | 1345 |
| Arena Multi-turn | Arena (LMArena) | 1502† | 1415 |
| Arena Longer Queries | Arena (LMArena) | 1520† | 1410 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1324† | – |
| LiveBench Design | LiveBench | 83.3%† | – |
| MMMU-Pro | Artificial Analysis | 87.7% | 81.6% |
| SAGE | Vals AI | 91.3%† | 88.6% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 51.2%† | – |
| Code2Video-AA | Artificial Analysis | 1536 | 1020 |
| AA-3D | Artificial Analysis | 1202 | 1027 |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 84.7% | 83.3% |
| MLCR | Artificial Analysis | 27.8% | 20.6% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 168.5† | – |
| LiveBench 2.0 | LiveBench | 83.4%† | – |
| LiveBench 1.0 | LiveBench | 83.2% | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 59.1 | 30.6 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 57.6 | – |
| AA Progress Index v1 | Artificial Analysis | 350 | – |
| Vals Index | Vals AI | 70.1† | 56.1 |
| Vals Finance Index | Vals AI | 65.3%† | 61.5% |
| Vals RSI Index | Vals AI | 37.3% | – |
| Vals Science Index | Vals AI | 58.6%† | 32.7% |
| Vals Router Index | Vals AI | 64.2%† | – |
| AA Cyber Index | Artificial Analysis | 28.7 | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | 5.8% | 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).
- Claude Opus 5.5 (max): 1 new result (PostTrainBench); 1 score revision.
- Inkling 2 Small: 2 new results (MysteryMechanism, Vals Science Index); 1 score revision.
- Claude Opus 5.5 (max): 1 new result (MirrorCode); 1 score revision.
- Claude Opus 5.5 (max): BenchLeader Index 69.3 → 68.8.
- Inkling 2 Small: 3 new results (SciCode, APEX-Agents, MLCR).
- Claude Opus 5.5 (max): 2 score revisions.
- 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.
Related comparisons
- Claude Opus 5.5 vs Claude Fable 5.2
- Claude Opus 5.5 vs Gemini 4 Carbon
- Claude Opus 5.5 vs GPT-6 Astra
- Inkling 2 Small vs Gemini 4 Carbon
- Inkling 2 Small vs GPT-6 Astra
- Inkling 2 Small vs Claude Fable 5.1
- Claude Opus 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs Claude Fable 5
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Claude Opus 5.5 vs Inkling 2 Small: questions
- Is Claude Opus 5.5 better than Inkling 2 Small?
- Claude Opus 5.5 (max) leads on quality: 68.4 vs 57.9. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5.5 (max) is ahead overall as of 13 Nov 2026, but check the category scores for your use.
- Claude Opus 5.5 vs Inkling 2 Small: which is cheaper, and will that change?
- Inkling 2 Small is cheaper today: $0.475 against $8.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Claude Opus 5.5 or Inkling 2 Small better for coding?
- Claude Opus 5.5 scores higher in coding (80 vs 60 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1815 for Claude Opus 5.5 against 1647 for Inkling 2 Small.
- Which is faster, Claude Opus 5.5 or Inkling 2 Small?
- Inkling 2 Small streams faster (115 vs 90 output tokens per second, Artificial Analysis 7-day median).
- Is Claude Opus 5.5 or Inkling 2 Small better for agents and tool use?
- They are level in agentic tasks (62 vs 61 on the category index). On APEX-Agents, the top shared agents & tools benchmark, it is 73.5% for Claude Opus 5.5 against 46.8% for Inkling 2 Small.
More questions (4)
- Which is better for long documents?
- They are level on long-context benchmarks (67 vs 66). Both take about 1M tokens: Claude Opus 5.5 1,000,000, Inkling 2 Small 1,048,576.
- Which has lower latency?
- Inkling 2 Small answers first: 63.9 s against 347.9 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 Opus 5.5 vs Inkling 2 Small?
- Across the 24 benchmarks both have, Claude Opus 5.5 leads 22, Inkling 2 Small leads 2. Every overall index that rates both puts Claude Opus 5.5 ahead.
- When was Inkling 2 Small released?
- Inkling 2 Small was released on 5 Nov 2026.