Jamba Mini vs Mistral Small 4
Mistral Small 4 comes out ahead, 64 to 57 on our weighted score.
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
- Our pick
Mistral AIMistral Small 4
64/100- ECI—
- Price$0.15 / $0.60
- 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 sameJamba Mini 256,000 · Mistral Small 4 256,000 tokens
- Widest inputsMistral Small 4Jamba Mini: Text · Mistral Small 4: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Jamba Mini | Mistral Small 4 |
|---|---|---|---|
| Price | 50% | 78 | 77 |
| Inputs & features | 30% | 35 | 60 |
| Context window | 20% | 36 | 36 |
| Overall | 100% | 57/100 | 64/100 |
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 | Jamba MiniAI21 Labs | Mistral Small 4Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 | $0.15 (best) |
| Output | $0.40 (best) | $0.60 |
| Cached input | — | $0.015 |
| Blended (3:1) | $0.25 (best) | $0.263 |
| Long-context rate | Same rate | Same rate |
| Price source | Official AI21 Labs API | Official Mistral API |
| Limits | ||
| Context window | 256,000 tokens | 256,000 tokens |
| Max output | 4,096 tokens | 256,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yeshigh |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | jamba-mini | mistral-small-2603 |
| API providers | 1 | 16 (best) |
| Released | Jan 1, 2026 | Mar 16, 2026 |
| Knowledge cutoff | Aug 22, 2024 | Jun 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Jamba Mini$2.80
- Mistral Small 4$2.70
Which should you choose?
Which is better: Jamba Mini or Mistral Small 4?
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, Jamba Mini or Mistral Small 4?
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. Jamba Mini has not been scored yet and Mistral Small 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Mini and Mistral Small 4 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?
Jamba Mini and Mistral Small 4 share the same 256,000-token context window. Maximum output per response: Jamba Mini up to 4,096, Mistral Small 4 up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Jamba Mini accepts text; Mistral Small 4 accepts text and images. 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: Jamba Mini Aug 22, 2024, Mistral Small 4 Jun 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.
