Gemini 2.5 Flash-Lite vs GLM-4.5V vs Voxtral Small 24B 2507
Gemini 2.5 Flash-Lite comes out ahead, 83 to 55 and 48 on our weighted score.
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Z.ai (Zhipu)GLM-4.5V
48/100- ECI—
- Price$0.60 / $1.80
- Context64K
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 GLM-4.5V (48). 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 · GLM-4.5V $0.90 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · GLM-4.5V 64,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · GLM-4.5V: Text, Images, Video · Voxtral Small 24B 2507: Text, Audio
- Self-hostingGLM-4.5V and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemini 2.5 Flash-Lite | GLM-4.5V | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 82 | 50 | 82 |
| Inputs & features | 30% | 100 | 70 | 45 |
| Context window | 20% | 61 | 12 | 0 |
| Overall | 100% | 83/100 | 48/100 | 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 | GLM-4.5VZ.ai (Zhipu) | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.60 | $0.10 (best) |
| Output | $0.40 (best) | $1.80 | $0.40 (best) |
| Cached input | $0.01 (best) | $0.11 | — |
| Blended (3:1) | $0.175 (best) | $0.90 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Z.AI API | Official Mistral API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 64,000 tokens | 32,768 tokens |
| Max output | 65,536 tokens (best) | 16,384 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | Yes |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | 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 | glm-4.5v | voxtral-small-latest |
| API providers | 24 (best) | 17 | 10 |
| Released | Jun 17, 2025 | Aug 11, 2025 | Jul 15, 2025 |
| Knowledge cutoff | Jan 2025 | Apr 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
- GLM-4.5V$9.60
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite, GLM-4.5V 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 GLM-4.5V (48). 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, GLM-4.5V 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); GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.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 $0.90 for GLM-4.5V (5.1× 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, GLM-4.5V 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, GLM-4.5V 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 64,000 for GLM-4.5V and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, GLM-4.5V up to 16,384, 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; GLM-4.5V accepts text, images and video; 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?
GLM-4.5V 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?
GLM-4.5V is the newest, released Aug 11, 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, GLM-4.5V Apr 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.
