Gemini 2.5 Flash-Lite vs Sarvam 105B vs Voxtral Small 24B 2507
Gemini 2.5 Flash-Lite comes out ahead, 83 to 55 and 52 on our weighted score.
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Sarvam AI
Sarvam 105B
52/100- ECI—
- Price$0.158 / $0.632
- Context131K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Voxtral Small 24B 2507 (55) and Sarvam 105B (52). 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 priceGemini 2.5 Flash-Lite and Voxtral Small 24B 2507Gemini 2.5 Flash-Lite $0.175 · Voxtral Small 24B 2507 $0.175 · Sarvam 105B $0.276 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Sarvam 105B 131,072 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Sarvam 105B: Text · Voxtral Small 24B 2507: Text, Audio
- Self-hostingSarvam 105B and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemini 2.5 Flash-Lite | Sarvam 105B | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 82 | 73 | 82 |
| Inputs & features | 30% | 100 | 35 | 45 |
| Context window | 20% | 61 | 25 | 0 |
| Overall | 100% | 83/100 | 52/100 | 55/100 |
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 | Sarvam 105BSarvam AI | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.158 | $0.10 (best) |
| Output | $0.40 (best) | $0.632 | $0.40 (best) |
| Cached input | $0.01 (best) | $0.053 | — |
| Blended (3:1) | $0.175 (best) | $0.276 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Sarvam AI API | Official Mistral API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 32,768 tokens |
| Max output | 65,536 tokens | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | Yes |
| Video | Yes | No | No |
| Reasoning | Yes | Yeslow · medium · high | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | gemini-2.5-flash-lite | sarvam-105b | voxtral-small-latest |
| API providers | 24 (best) | 3 | 10 |
| Released | Jun 17, 2025 | Feb 18, 2026 | Jul 15, 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
- Sarvam 105B$2.84
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite, Sarvam 105B or Voxtral Small 24B 2507?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Voxtral Small 24B 2507 (55) and Sarvam 105B (52). 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, Gemini 2.5 Flash-Lite, Sarvam 105B or Voxtral Small 24B 2507?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). Voxtral Small 24B 2507 costs $0.10 input / $0.40 output per million tokens (official Mistral API price); Sarvam 105B costs $0.158 input / $0.632 output per million tokens (official Sarvam AI API price). 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 $0.175 for Voxtral Small 24B 2507 (1× as much) and $0.276 for Sarvam 105B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Flash-Lite has not been scored yet, Sarvam 105B has not been scored yet and Voxtral Small 24B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite, Sarvam 105B and Voxtral Small 24B 2507 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 131,072 for Sarvam 105B and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Sarvam 105B up to 131,072, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Sarvam 105B accepts text; Voxtral Small 24B 2507 accepts text and audio. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Sarvam 105B and Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Sarvam 105B is the newest, released Feb 18, 2026. 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.
