Mistral Large 2.1 vs North Mini Code
North Mini Code comes out ahead, 71 to 26 on our weighted score, and it is the cheaper option too.
Mistral AI
Mistral Large 2.1
26/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
- Our pick
Cohere
North Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
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Make it a three-way comparison.
North Mini Code is our pick
North Mini Code is the better all-round choice, scoring 71/100 against Mistral Large 2.1 (26). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceNorth Mini CodeNorth Mini Code Free · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextNorth Mini CodeNorth Mini Code 256,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsSame inputsMistral Large 2.1: Text · North Mini Code: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Large 2.1 | North Mini Code |
|---|---|---|---|
| Price | 50% | 27 | 100 |
| Inputs & features | 30% | 25 | 45 |
| Context window | 20% | 24 | 36 |
| Overall | 100% | 26/100 | 71/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 128.5 | — |
| ECI rank | #130 of 148 | — |
| GPQA DiamondGraduate-level science questions | 51.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.8% | — |
| Price per million tokens | ||
| Input | $2.00 | Free (best) |
| Output | $6.00 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $3.00 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Cohere API |
| Limits | ||
| Context window | 131,072 tokens | 256,000 tokens (best) |
| Max output | 16,384 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yeshigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | mistral-large-2411 | north-mini-code-1-0 |
| API providers | 2 | 2 |
| Released | Nov 18, 2024 | Jun 9, 2026 |
| Knowledge cutoff | Nov 2024 | Sep 23, 2025 |
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 2.1$32.00
North Mini CodeFree
Which should you choose?
Which is better: Mistral Large 2.1 or North Mini Code?
North Mini Code is the better all-round choice, scoring 71/100 against Mistral Large 2.1 (26). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral Large 2.1 or North Mini Code?
North Mini Code is cheaper at Free input / Free output per million tokens (official Cohere API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). North Mini Code is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 2.1 has an ECI of 128.5 and North Mini Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2.1 and North Mini Code yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
North Mini Code has the largest context window at 256,000 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, North Mini Code up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2.1 accepts text; North Mini Code accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
North Mini Code is the newest, released Jun 9, 2026. Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, North Mini Code Sep 23, 2025.
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 Oct 4, 2026.