Inkling Small vs Mistral Large 4 vs Claude Opus 5.5
Too close to call on our weighted score (Claude Opus 5.5 69, Inkling Small 68, Mistral Large 4 67). The right pick depends on what you value most.
Thinking MachinesInkling Small
68/100- ECI150.5
- Price$0.58 / $1.44
- Context1.05M
Mistral AIMistral Large 4
67/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
AnthropicClaude Opus 5.5
69/100- ECI168.4
- Price$4.00 / $20.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Claude Opus 5.5 69/100, Inkling Small 68/100, Mistral Large 4 67/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 168.4 · Mistral Large 4 150.6 · Inkling Small 150.5
- Lowest priceInkling SmallInkling Small $0.795 · Mistral Large 4 $1.05 · Claude Opus 5.5 $8.00 per 1M tokens (3:1 blend)
- Longest contextInkling Small and Mistral Large 4Inkling Small 1,048,576 · Mistral Large 4 1,048,576 · Claude Opus 5.5 1,000,000 tokens
- Widest inputsInkling Small and Claude Opus 5.5Inkling Small: Text, Images, Audio · Mistral Large 4: Text, Images · Claude Opus 5.5: Text, Images, PDFs
- Self-hostingInkling SmallPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Inkling Small | Mistral Large 4 | Claude Opus 5.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 77 | 99 |
| Price | 25% | 52 | 47 | 7 |
| Inputs & features | 15% | 70 | 70 | 80 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 68/100 | 67/100 | 69/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Inkling SmallThinking Machines | Mistral Large 4Mistral AI | Claude Opus 5.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 150.5 | 150.6 | 168.4 (best) |
| ECI rank | #58 of 165 | #57 of 165 | #2 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 88.5% | 88.1% | 90.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 46.3% | 58.6% | 91.2% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 90.0% | 98.3% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 19.1% | 20.0% | 72.2% (best) |
| Price per million tokens | |||
| Input | $0.58 (best) | $0.70 | $4.00 |
| Output | $1.44 (best) | $2.10 | $20.00 |
| Cached input | $0.116 | $0.07 (best) | $0.20 |
| Blended (3:1) | $0.795 (best) | $1.05 | $8.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Thinking Machines API | Official Mistral API | Official Anthropic API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 1,048,576 tokens (best) | 262,144 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · medium · high | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenApache-2.0 | Proprietary | Proprietary |
| API model ID | thinkingmachines/Inkling-Small | mistral-large-4 | claude-opus-5-5 |
| API providers | 12 | 15 | 36 (best) |
| Released | Jul 30, 2026 | Oct 6, 2026 | Sep 22, 2026 |
| Knowledge cutoff | — | — | Jun 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Inkling Small$8.68
- Mistral Large 4$11.20
- Claude Opus 5.5$80.00
Which should you choose?
Which is better: Inkling Small, Mistral Large 4 or Claude Opus 5.5?
It is close. Our weighted score puts them within 1 points (Claude Opus 5.5 69/100, Inkling Small 68/100, Mistral Large 4 67/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Inkling Small, Mistral Large 4 or Claude Opus 5.5?
Inkling Small is cheaper at $0.58 input / $1.44 output per million tokens (official Thinking Machines API price). Mistral Large 4 costs $0.70 input / $2.10 output per million tokens (official Mistral API price); Claude Opus 5.5 costs $4.00 input / $20.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.795 per million tokens for Inkling Small versus $1.05 for Mistral Large 4 (1.3× as much) and $8.00 for Claude Opus 5.5 (10× as much).
Which scores higher on benchmarks?
Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 168.4 (#2 of 165), Mistral Large 4 150.6 (#57 of 165) and Inkling Small 150.5 (#58 of 165). Their confidence ranges do not overlap (165.4–173.0 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Opus 5.5 90.6%, Inkling Small 88.5%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — Claude Opus 5.5 91.2%, Mistral Large 4 58.6%, Inkling Small 46.3%; OTIS Mock AIME 2024–2025 — Claude Opus 5.5 100%, Mistral Large 4 98.3%, Inkling Small 90.0%; SimpleQA Verified — Claude Opus 5.5 72.2%, Mistral Large 4 20.0%, Inkling Small 19.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Inkling Small, Mistral Large 4 and Claude Opus 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5.5 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Inkling Small and Mistral Large 4 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Claude Opus 5.5. Maximum output per response: Inkling Small up to 1,048,576, Mistral Large 4 up to 262,144, Claude Opus 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Inkling Small accepts text, images and audio; Mistral Large 4 accepts text and images; Claude Opus 5.5 accepts text, images and PDFs. Inkling Small handles the widest range of inputs.
Are any of these open source?
Inkling Small publishes its weights (Apache-2.0) and can be self-hosted; Mistral Large 4 and Claude Opus 5.5 is proprietary.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. Claude Opus 5.5 came out Sep 22, 2026; Inkling Small came out Jul 30, 2026. Knowledge cutoff: Claude Opus 5.5 Jun 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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