Mistral Large 4 vs Mistral Large 2.1 vs Inkling Small
Too close to call on our weighted score (Inkling Small 68, Mistral Large 4 67, Mistral Large 2.1 38). The right pick depends on what you value most.
Mistral AI
Mistral Large 4
67/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
Mistral AI
Mistral Large 2.1
38/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
Thinking Machines
Inkling Small
68/100- ECI150.5
- Price$0.58 / $1.44
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 1 points (Inkling Small 68/100, Mistral Large 4 67/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 4 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral Large 4Capabilities Index (ECI): Mistral Large 4 150.6 · Inkling Small 150.5 · Mistral Large 2.1 128.6
- Lowest priceInkling SmallInkling Small $0.795 · Mistral Large 4 $1.05 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextMistral Large 4 and Inkling SmallMistral Large 4 1,048,576 · Inkling Small 1,048,576 · Mistral Large 2.1 131,072 tokens
- Widest inputsInkling SmallMistral Large 4: Text, Images · Mistral Large 2.1: Text · Inkling Small: Text, Images, Audio
- Self-hostingMistral Large 2.1 and Inkling SmallPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Mistral Large 4 | Mistral Large 2.1 | Inkling Small |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 50 | 77 |
| Price | 25% | 47 | 26 | 52 |
| Inputs & features | 15% | 70 | 25 | 70 |
| Context window | 10% | 61 | 25 | 61 |
| Overall | 100% | 67/100 | 38/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 150.6 (best) | 128.6 | 150.5 |
| ECI rank | #57 of 165 (best) | #142 of 165 | #58 of 165 |
| GPQA DiamondGraduate-level science questions | 88.1% | 51.3% | 88.5% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 58.6% (best) | — | 46.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.3% (best) | 7.8% | 90.0% |
| SimpleQA VerifiedShort factual questions | 20.0% (best) | — | 19.1% |
| Price per million tokens | |||
| Input | $0.70 | $2.00 | $0.58 (best) |
| Output | $2.10 | $6.00 | $1.44 (best) |
| Cached input | $0.07 (best) | — | $0.116 |
| Blended (3:1) | $1.05 | $3.00 | $0.795 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 2 providers | Official Thinking Machines API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 262,144 tokens | 16,384 tokens | 1,048,576 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | No | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | OpenApache-2.0 |
| API model ID | mistral-large-4 | — | thinkingmachines/Inkling-Small |
| API providers | 15 (best) | 2 | 12 |
| Released | Oct 6, 2026 | Nov 18, 2024 | Jul 30, 2026 |
| Knowledge cutoff | — | Nov 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mistral Large 4$11.20
Mistral Large 2.1$32.00
Inkling Small$8.68
Which should you choose?
Which is better: Mistral Large 4, Mistral Large 2.1 or Inkling Small?
It is close. Our weighted score puts them within 1 points (Inkling Small 68/100, Mistral Large 4 67/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 4 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large 4, Mistral Large 2.1 or Inkling Small?
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); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). 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 $3.00 for Mistral Large 2.1 (3.8× as much).
Which scores higher on benchmarks?
Mistral Large 4 scores higher on the Capabilities Index (ECI): Mistral Large 4 150.6 (#57 of 165), Inkling Small 150.5 (#58 of 165) and Mistral Large 2.1 128.6 (#142 of 165). The confidence ranges of the top two overlap (147.4–153.5 vs 147.7–152.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Inkling Small 88.5%, Mistral Large 4 88.1%, Mistral Large 2.1 51.3%; OTIS Mock AIME 2024–2025 — Mistral Large 4 98.3%, Inkling Small 90.0%, Mistral Large 2.1 7.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 4, Mistral Large 2.1 and Inkling Small yet, so there is no like-for-like coding score. On overall capability, Mistral Large 4 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?
Mistral Large 4 and Inkling Small have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 4 up to 262,144, Mistral Large 2.1 up to 16,384, Inkling Small up to 1,048,576 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 4 accepts text and images; Mistral Large 2.1 accepts text; Inkling Small accepts text, images and audio. Inkling Small handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 and Inkling Small publishes its weights (Apache-2.0) and can be self-hosted; Mistral Large 4 is proprietary.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. Inkling Small came out Jul 30, 2026; Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024.
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.