Ministral 3 14B vs Gemini 2.5 Flash-Lite vs Grok 4.1 Fast
Gemini 2.5 Flash-Lite comes out ahead, 85 to 71 and 63 on our weighted score, and it is the cheaper option too.
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
- Our pick
GoogleGemini 2.5 Flash-Lite
85/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
xAIGrok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Grok 4.1 Fast (71) and Ministral 3 14B (63). It leads on price and inputs & features. Grok 4.1 Fast wins 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 priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · 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 · Gemini 2.5 Flash-Lite 1,048,576 · Ministral 3 14B 262,144 tokens
- Widest inputsGemini 2.5 Flash-LiteMinistral 3 14B: Text, Images · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Grok 4.1 Fast: Text, Images
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | Gemini 2.5 Flash-Lite | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 76 | 86 | 76 |
| Inputs & features | 30% | 60 | 100 | 60 |
| Context window | 20% | 37 | 61 | 72 |
| Overall | 100% | 63/100 | 85/100 | 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 Flash-LiteGoogle | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 133.9 | — |
| ECI rank | — | #118 of 148 | — |
| Price per million tokens | |||
| Input | $0.268 | $0.10 (best) | $0.20 |
| Output | $0.325 (best) | $0.40 | $0.50 |
| Cached input | — | $0.01 | — |
| Blended (3:1) | $0.282 | $0.175 (best) | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Google API | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens | 2,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 65,536 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Proprietary |
| API model ID | — | gemini-2.5-flash-lite | — |
| API providers | 2 | 20 (best) | 2 |
| Released | Dec 2, 2025 | Jun 17, 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 Flash-Lite$1.80
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Ministral 3 14B, Gemini 2.5 Flash-Lite or Grok 4.1 Fast?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Grok 4.1 Fast (71) and Ministral 3 14B (63). It leads on price and inputs & features. Grok 4.1 Fast wins 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 Flash-Lite or Grok 4.1 Fast?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google 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 $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.275 for Grok 4.1 Fast (1.6× as much) and $0.282 for Ministral 3 14B (1.6× 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 Flash-Lite has an ECI of 133.9 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 Flash-Lite 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 1,048,576 for Gemini 2.5 Flash-Lite and 262,144 for Ministral 3 14B. Maximum output per response: Ministral 3 14B up to 262,144, Gemini 2.5 Flash-Lite up to 65,536, 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 Flash-Lite accepts text, images, PDFs, audio and video; Grok 4.1 Fast accepts text and images. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Ministral 3 14B publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite 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 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite 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.
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