Mistral Small 4 vs Jamba Mini
Mistral Small 4 comes out ahead, 64 to 57 on our weighted score.
- Our pick
Mistral AIMistral Small 4
64/100- ECI—
- Price$0.15 / $0.60
- Context256K
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
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Make it a three-way comparison.
Mistral Small 4 is our pick
Mistral Small 4 is the better all-round choice, scoring 64/100 against Jamba Mini (57). It leads on inputs & features. 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 priceJamba MiniJamba Mini $0.25 · Mistral Small 4 $0.263 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMistral Small 4 256,000 · Jamba Mini 256,000 tokens
- Widest inputsMistral Small 4Mistral Small 4: Text, Images · Jamba Mini: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 4 | Jamba Mini |
|---|---|---|---|
| Price | 50% | 77 | 78 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 36 | 36 |
| Overall | 100% | 64/100 | 57/100 |
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 | Mistral Small 4Mistral AI | Jamba MiniAI21 Labs |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 (best) | $0.20 |
| Output | $0.60 | $0.40 (best) |
| Cached input | $0.015 | — |
| Blended (3:1) | $0.263 | $0.25 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official AI21 Labs API |
| Limits | ||
| Context window | 256,000 tokens | 256,000 tokens |
| Max output | 256,000 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeshigh | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | mistral-small-2603 | jamba-mini |
| API providers | 16 (best) | 1 |
| Released | Mar 16, 2026 | Jan 1, 2026 |
| Knowledge cutoff | Jun 2025 | Aug 22, 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 Small 4$2.70
- Jamba Mini$2.80
Which should you choose?
Which is better: Mistral Small 4 or Jamba Mini?
Mistral Small 4 is the better all-round choice, scoring 64/100 against Jamba Mini (57). It leads on inputs & features. 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 Small 4 or Jamba Mini?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). Mistral Small 4 costs $0.15 input / $0.60 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Jamba Mini versus $0.263 for Mistral Small 4 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Small 4 has not been scored yet and Jamba Mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 4 and Jamba Mini 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?
Mistral Small 4 and Jamba Mini share the same 256,000-token context window. Maximum output per response: Mistral Small 4 up to 256,000, Jamba Mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 4 accepts text and images; Jamba Mini accepts text. Mistral Small 4 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Mistral Small 4 is the newest, released Mar 16, 2026. Jamba Mini came out Jan 1, 2026. Knowledge cutoff: Mistral Small 4 Jun 2025, Jamba Mini Aug 22, 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 Oct 4, 2026.
