Kimi K2 Thinking Turbo vs Ministral 3 14B
Ministral 3 14B comes out ahead, 51 to 36 on our weighted score, and it is the cheaper option too.
Moonshot AIKimi K2 Thinking Turbo
36/100- ECI—
- Price—
- Context262K
- Our pick
Mistral AIMinistral 3 14B
51/100- ECI—
- Price$0.268 / $0.325
- Context262K
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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 51/100 against Kimi K2 Thinking Turbo (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceMinistral 3 14BMinistral 3 14B $0.282 per 1M tokens (3:1 blend) · Kimi K2 Thinking Turbo unpriced
- Longest contextAbout the sameKimi K2 Thinking Turbo 262,144 · Ministral 3 14B 262,144 tokens
- Widest inputsMinistral 3 14BKimi K2 Thinking Turbo: Text · Ministral 3 14B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Kimi K2 Thinking Turbo | Ministral 3 14B |
|---|---|---|---|
| Inputs & features | 60% | 35 | 60 |
| Context window | 40% | 37 | 37 |
| Overall | 100% | 36/100 | 51/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Kimi K2 Thinking TurboMoonshot AI | Ministral 3 14BMistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.268 |
| Output | — | $0.325 |
| Cached input | — | — |
| Blended (3:1) | — | $0.282 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 2 providers |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens | 262,144 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | — | — |
| API providers | — | 2 |
| Released | Nov 6, 2025 | Dec 2, 2025 |
| Knowledge cutoff | Aug 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K2 Thinking Turbo—
- Ministral 3 14B$3.33
Which should you choose?
Which is better: Kimi K2 Thinking Turbo or Ministral 3 14B?
Ministral 3 14B is the better all-round choice, scoring 51/100 against Kimi K2 Thinking Turbo (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Kimi K2 Thinking Turbo or Ministral 3 14B?
Ministral 3 14B is cheaper at $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 $0.282 per million tokens for Ministral 3 14B versus . Kimi K2 Thinking Turbo has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Kimi K2 Thinking Turbo has not been scored yet and Ministral 3 14B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Thinking Turbo and Ministral 3 14B 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?
Kimi K2 Thinking Turbo and Ministral 3 14B share the same 262,144-token context window. Maximum output per response: Kimi K2 Thinking Turbo up to 262,144, Ministral 3 14B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking Turbo accepts text; Ministral 3 14B accepts text and images. 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?
Ministral 3 14B is the newest, released Dec 2, 2025. Kimi K2 Thinking Turbo came out Nov 6, 2025. Knowledge cutoff: Kimi K2 Thinking Turbo Aug 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.
