Voxtral Small 24B 2507 vs Ministral 14B vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 83 to 63 and 55 on our weighted score.
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
- Mistral AI
Ministral 14B
63/100- ECI—
- Price$0.175 / $0.175
- Context262K
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Ministral 14B (63) and Voxtral Small 24B 2507 (55). It leads on 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 priceSame priceVoxtral Small 24B 2507 $0.175 · Ministral 14B $0.175 · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Ministral 14B 262,144 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsGemini 2.5 Flash-LiteVoxtral Small 24B 2507: Text, Audio · Ministral 14B: Text, Images · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingVoxtral Small 24B 2507 and Ministral 14BPublishes downloadable weights (Apache 2.0 and Apache-2.0)
| Measure | Weight | Voxtral Small 24B 2507 | Ministral 14B | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| Price | 50% | 82 | 82 | 82 |
| Inputs & features | 30% | 45 | 50 | 100 |
| Context window | 20% | 0 | 37 | 61 |
| Overall | 100% | 55/100 | 63/100 | 83/100 |
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 | Voxtral Small 24B 2507Mistral AI | Ministral 14BMistral AI | Gemini 2.5 Flash-LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.175 | $0.10 (best) |
| Output | $0.40 | $0.175 (best) | $0.40 |
| Cached input | — | — | $0.01 |
| Blended (3:1) | $0.175 | $0.175 | $0.175 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 2 providers | Official Google API |
| Limits | |||
| Context window | 32,768 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | Yes | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | OpenApache-2.0 | Proprietary |
| API model ID | voxtral-small-latest | — | gemini-2.5-flash-lite |
| API providers | 10 | 2 | 24 (best) |
| Released | Jul 15, 2025 | Dec 2, 2025 | Jun 17, 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.
- Voxtral Small 24B 2507$1.80
- Ministral 14B$2.10
- Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Voxtral Small 24B 2507, Ministral 14B or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Ministral 14B (63) and Voxtral Small 24B 2507 (55). It leads on 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, Voxtral Small 24B 2507, Ministral 14B or Gemini 2.5 Flash-Lite?
Voxtral Small 24B 2507, Ministral 14B and Gemini 2.5 Flash-Lite cost the same: $0.10 input / $0.40 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Voxtral Small 24B 2507 has not been scored yet, Ministral 14B has not been scored yet and Gemini 2.5 Flash-Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Voxtral Small 24B 2507, Ministral 14B and Gemini 2.5 Flash-Lite 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?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 262,144 for Ministral 14B and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, Ministral 14B up to 262,144, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Voxtral Small 24B 2507 accepts text and audio; Ministral 14B accepts text and images; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Voxtral Small 24B 2507 and Ministral 14B publishes its weights (Apache 2.0 and Apache-2.0) and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Ministral 14B is the newest, released Dec 2, 2025. Voxtral Small 24B 2507 came out Jul 15, 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 Nov 2, 2026.
