Ministral 3 14B vs Jamba Mini
Ministral 3 14B comes out ahead, 63 to 57 on our weighted score, though Jamba Mini is 11% cheaper per token.
- Our pick
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
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Make it a three-way comparison.
Ministral 3 14B is our pick
Ministral 3 14B is the better all-round choice, scoring 63/100 against Jamba Mini (57). It leads on inputs & features. Jamba Mini wins on price. 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 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · Jamba Mini 256,000 tokens
- Widest inputsMinistral 3 14BMinistral 3 14B: Text, Images · Jamba Mini: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 3 14B | Jamba Mini |
|---|---|---|---|
| Price | 50% | 76 | 78 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 37 | 36 |
| Overall | 100% | 63/100 | 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 | Ministral 3 14BMistral AI | Jamba MiniAI21 Labs |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.268 | $0.20 (best) |
| Output | $0.325 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.282 | $0.25 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official AI21 Labs API |
| Limits | ||
| Context window | 262,144 tokens (best) | 256,000 tokens |
| Max output | 262,144 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | jamba-mini |
| API providers | 2 (best) | 1 |
| Released | Dec 2, 2025 | Jan 1, 2026 |
| Knowledge cutoff | — | 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.
- Ministral 3 14B$3.33
- Jamba Mini$2.80
Which should you choose?
Which is better: Ministral 3 14B or Jamba Mini?
Ministral 3 14B is the better all-round choice, scoring 63/100 against Jamba Mini (57). It leads on inputs & features. Jamba Mini wins on price. 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, Ministral 3 14B or Jamba Mini?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). Ministral 3 14B costs $0.268 input / $0.325 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Jamba Mini versus $0.282 for Ministral 3 14B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ministral 3 14B 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 Ministral 3 14B 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?
Ministral 3 14B has the largest context window at 262,144 tokens, against 256,000 for Jamba Mini. Maximum output per response: Ministral 3 14B up to 262,144, Jamba Mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; Jamba Mini accepts text. Ministral 3 14B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Jamba Mini is the newest, released Jan 1, 2026. Ministral 3 14B came out Dec 2, 2025. Knowledge cutoff: 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.
