ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Qwen3 30B A3B vs Voxtral Small 24B 2507

Gemini 2.5 Flash-Lite comes out ahead, 83 to 55 and 55 on our weighted score.

  1. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    83/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite

  2. Alibaba (Qwen)

    Qwen3 30B A3B

    Released Apr 28, 2025

    55/100
    • ECI136.2
    • Price$0.108 / $0.475
    • Context131K
    Full specs Remove Qwen3 30B A3B

  3. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.40
    • Context33K
    Full specs Remove Voxtral Small 24B 2507
01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Qwen3 30B A3B (55) 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 priceGemini 2.5 Flash-Lite and Voxtral Small 24B 2507Gemini 2.5 Flash-Lite $0.175 · Voxtral Small 24B 2507 $0.175 · Qwen3 30B A3B $0.20 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Qwen3 30B A3B 131,072 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Qwen3 30B A3B: Text · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingQwen3 30B A3B and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 2.5 Flash-LiteQwen3 30B A3BVoxtral Small 24B 2507
Price50%828082
Inputs & features30%1003545
Context window20%61250
Overall100%83/10055/10055/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.5 Flash-Lite vs Qwen3 30B A3B vs Voxtral Small 24B 2507 specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleQwen3 30B A3BAlibaba (Qwen)Voxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)—136.2—
ECI rank—#126 of 165—
GPQA DiamondGraduate-level science questions—61.7%—
OTIS Mock AIME 2024–2025Competition mathematics—62.8%—
Price per million tokens
Input$0.10 (best)$0.108$0.10 (best)
Output$0.40 (best)$0.475$0.40 (best)
Cached input$0.01——
Blended (3:1)$0.175 (best)$0.20$0.175 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 14 providersOfficial Mistral API
Limits
Context window1,048,576 tokens (best)131,072 tokens32,768 tokens
Max output65,536 tokens (best)16,384 tokens32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioYesNoYes
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenOpenApache 2.0
API model IDgemini-2.5-flash-lite—voxtral-small-latest
API providers24 (best)1410
ReleasedJun 17, 2025Apr 28, 2025Jul 15, 2025
Knowledge cutoffJan 2025——
03 — Cost

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
  • Qwen3 30B A3B$2.03
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite, Qwen3 30B A3B or Voxtral Small 24B 2507?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Qwen3 30B A3B (55) 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, Gemini 2.5 Flash-Lite, Qwen3 30B A3B 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); Qwen3 30B A3B costs $0.108 input / $0.475 output per million tokens (median across 14 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 $0.175 for Voxtral Small 24B 2507 (1× as much) and $0.20 for Qwen3 30B A3B (1.1× 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, Qwen3 30B A3B has an ECI of 136.2 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, Qwen3 30B A3B 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 Qwen3 30B A3B and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Qwen3 30B A3B 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; Qwen3 30B A3B 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?

Qwen3 30B A3B 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?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Gemini 2.5 Flash-Lite came out Jun 17, 2025; Qwen3 30B A3B came out Apr 28, 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.

05 — Keep comparing

Related comparisons