Grok 4.1 Fast vs Ministral 3 14B vs Mistral Small 3.2
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.
- Our pick
xAIGrok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
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
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 inputsGrok 4.1 Fast: Text, Images · Ministral 3 14B: Text, Images · Mistral Small 3.2: Text, Images
- Self-hostingMinistral 3 14B and Mistral Small 3.2Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Grok 4.1 Fast | Ministral 3 14B | Mistral Small 3.2 |
|---|---|---|---|---|
| Price | 50% | 76 | 76 | 89 |
| Inputs & features | 30% | 60 | 60 | 50 |
| Context window | 20% | 72 | 37 | 24 |
| Overall | 100% | 71/100 | 63/100 | 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 | Grok 4.1 FastxAI | Ministral 3 14BMistral AI | Mistral Small 3.2Mistral AI |
|---|---|---|---|
| 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 | $0.20 | $0.268 | $0.10 (best) |
| Output | $0.50 | $0.325 | $0.30 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.275 | $0.282 | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers | Official Mistral API |
| Limits | |||
| Context window | 2,000,000 tokens (best) | 262,144 tokens | 128,000 tokens |
| Max output | 30,000 tokens | 262,144 tokens (best) | 16,384 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 | Yes | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Open |
| API model ID | — | — | mistral-small-2506 |
| API providers | 2 | 2 | 6 (best) |
| Released | Nov 19, 2025 | Dec 2, 2025 | Jun 20, 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.
- Grok 4.1 Fast$3.00
- Ministral 3 14B$3.33
- Mistral Small 3.2$1.60
Which should you choose?
Which is better: Grok 4.1 Fast, Ministral 3 14B or Mistral Small 3.2?
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, Grok 4.1 Fast, Ministral 3 14B or Mistral Small 3.2?
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. Grok 4.1 Fast has not been scored yet, Ministral 3 14B has not been scored yet and Mistral Small 3.2 has an ECI of 131.7.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.1 Fast, Ministral 3 14B and Mistral Small 3.2 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: Grok 4.1 Fast up to 30,000, Ministral 3 14B up to 262,144, Mistral Small 3.2 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Grok 4.1 Fast accepts text and images; Ministral 3 14B accepts text and images; Mistral Small 3.2 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.
