Ministral 3 14B vs Mistral Small 3.2 vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 71 to 64 and 63 on our weighted score, though Mistral Small 3.2 is 45% cheaper per token.
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
- Mistral AI
Mistral Small 3.2
64/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
- Our pick
xAIGrok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against Mistral Small 3.2 (64) and Ministral 3 14B (63). It leads on context window. Mistral Small 3.2 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 priceMistral Small 3.2Mistral Small 3.2 $0.15 · Grok 4.1 Fast $0.275 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Ministral 3 14B 262,144 · Mistral Small 3.2 128,000 tokens
- Widest inputsSame inputsMinistral 3 14B: Text, Images · Mistral Small 3.2: Text, Images · Grok 4.1 Fast: Text, Images
- Self-hostingMinistral 3 14B and Mistral Small 3.2Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | Mistral Small 3.2 | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 76 | 89 | 76 |
| Inputs & features | 30% | 60 | 50 | 60 |
| Context window | 20% | 37 | 24 | 72 |
| Overall | 100% | 63/100 | 64/100 | 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 | Ministral 3 14BMistral AI | Mistral Small 3.2Mistral AI | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 131.7 | — |
| ECI rank | — | #123 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 49.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 30.3% | — |
| Price per million tokens | |||
| Input | $0.268 | $0.10 (best) | $0.20 |
| Output | $0.325 | $0.30 (best) | $0.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.282 | $0.15 (best) | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Mistral API | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens | 128,000 tokens | 2,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 16,384 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Proprietary |
| API model ID | — | mistral-small-2506 | — |
| API providers | 2 | 6 (best) | 2 |
| Released | Dec 2, 2025 | Jun 20, 2025 | Nov 19, 2025 |
| Knowledge cutoff | — | Mar 2025 | — |
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
- Mistral Small 3.2$1.60
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Ministral 3 14B, Mistral Small 3.2 or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against Mistral Small 3.2 (64) and Ministral 3 14B (63). It leads on context window. Mistral Small 3.2 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, Mistral Small 3.2 or Grok 4.1 Fast?
Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 2 API providers); 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 $0.15 per million tokens for Mistral Small 3.2 versus $0.275 for Grok 4.1 Fast (1.8× as much) and $0.282 for Ministral 3 14B (1.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 3 14B has not been scored yet, Mistral Small 3.2 has an ECI of 131.7 and Grok 4.1 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 14B, Mistral Small 3.2 and Grok 4.1 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4.1 Fast has the largest context window at 2,000,000 tokens, against 262,144 for Ministral 3 14B and 128,000 for Mistral Small 3.2. Maximum output per response: Ministral 3 14B up to 262,144, Mistral Small 3.2 up to 16,384, Grok 4.1 Fast up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; Mistral Small 3.2 accepts text and images; Grok 4.1 Fast accepts text and images. They handle the same number of input types.
Are any of these open source?
Ministral 3 14B and Mistral Small 3.2 publishes its weights (Apache 2.0) and can be self-hosted; Grok 4.1 Fast is proprietary.
Which is newer?
Ministral 3 14B is the newest, released Dec 2, 2025. Grok 4.1 Fast came out Nov 19, 2025; Mistral Small 3.2 came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 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.
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