Gemini 2.5 Flash-Lite vs Ministral 3 14B
Gemini 2.5 Flash-Lite comes out ahead, 85 to 63 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemini 2.5 Flash-Lite
85/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
Add a model
Make it a three-way comparison.
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Ministral 3 14B (63). It leads on price, inputs & features and 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 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Ministral 3 14B 262,144 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Ministral 3 14B: Text, Images
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemini 2.5 Flash-Lite | Ministral 3 14B |
|---|---|---|---|
| Price | 50% | 86 | 76 |
| Inputs & features | 30% | 100 | 60 |
| Context window | 20% | 61 | 37 |
| Overall | 100% | 85/100 | 63/100 |
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 | Gemini 2.5 Flash-LiteGoogle | Ministral 3 14BMistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 133.9 | — |
| ECI rank | #118 of 148 | — |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.268 |
| Output | $0.40 | $0.325 (best) |
| Cached input | $0.01 | — |
| Blended (3:1) | $0.175 (best) | $0.282 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Google API | Median of 2 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 65,536 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | OpenApache 2.0 |
| API model ID | gemini-2.5-flash-lite | — |
| API providers | 20 (best) | 2 |
| Released | Jun 17, 2025 | Dec 2, 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.
- Gemini 2.5 Flash-Lite$1.80
- Ministral 3 14B$3.33
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite or Ministral 3 14B?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Ministral 3 14B (63). It leads on price, inputs & features and 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, Gemini 2.5 Flash-Lite or Ministral 3 14B?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). 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 $0.282 for Ministral 3 14B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini 2.5 Flash-Lite has an ECI of 133.9 and Ministral 3 14B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite 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?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 262,144 for Ministral 3 14B. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Ministral 3 14B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Ministral 3 14B 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 is proprietary.
Which is newer?
Ministral 3 14B is the newest, released Dec 2, 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.
Related comparisons
- Add Mistral Small 3.2Three-way comparison
- Gemini 2.5 Flash-Lite vs Mistral Small 3.2Mistral AI · ECI 131.7
- Gemini 2.5 Flash-Lite vs Qwen3 30B A3BAlibaba (Qwen) · ECI 136.2
- Gemini 2.5 Flash-Lite vs GPT OSS 20BOpenAI · ECI 137.8
- Gemini 2.5 Flash-Lite vs DeepSeek V3 0324DeepSeek · ECI 135.9
- Ministral 3 14B vs Grok 4.1 FastxAI
- Ministral 3 14B vs GLM-4.6V-FlashZ.ai (Zhipu)
