Ministral 3 14B vs Gemini 2.5 Computer Use Preview vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 71 to 63 and 35 on our weighted score, and it is the cheaper option too.
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- 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 Ministral 3 14B (63) and Gemini 2.5 Computer Use Preview (35). It leads on context window. 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 priceGrok 4.1 FastGrok 4.1 Fast $0.275 · Ministral 3 14B $0.282 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Ministral 3 14B 262,144 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsSame inputsMinistral 3 14B: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images · Grok 4.1 Fast: Text, Images
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | Gemini 2.5 Computer Use Preview | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 76 | 24 | 76 |
| Inputs & features | 30% | 60 | 60 | 60 |
| Context window | 20% | 37 | 24 | 72 |
| Overall | 100% | 63/100 | 35/100 | 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 | Gemini 2.5 Computer Use PreviewGoogle | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.268 | $1.25 | $0.20 (best) |
| Output | $0.325 (best) | $10.00 | $0.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.282 | $3.44 | $0.275 (best) |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Median of 2 providers | Official Google 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) | 64,000 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 | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Proprietary |
| API model ID | — | gemini-2.5-computer-use-preview-10-2025 | — |
| API providers | 2 | 2 | 2 |
| Released | Dec 2, 2025 | Oct 7, 2025 | Nov 19, 2025 |
| Knowledge cutoff | — | Jan 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
- Gemini 2.5 Computer Use Preview$32.50
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Ministral 3 14B, Gemini 2.5 Computer Use Preview or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against Ministral 3 14B (63) and Gemini 2.5 Computer Use Preview (35). It leads on context window. 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, Gemini 2.5 Computer Use Preview or Grok 4.1 Fast?
Grok 4.1 Fast is cheaper at $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); Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Grok 4.1 Fast versus $0.282 for Ministral 3 14B (1× as much) and $3.44 for Gemini 2.5 Computer Use Preview (12× 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, Gemini 2.5 Computer Use Preview has not been scored yet 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, Gemini 2.5 Computer Use Preview 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 Gemini 2.5 Computer Use Preview. Maximum output per response: Ministral 3 14B up to 262,144, Gemini 2.5 Computer Use Preview up to 64,000, Grok 4.1 Fast up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; Gemini 2.5 Computer Use Preview 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 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Computer Use Preview and 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; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 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.
