ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Morph V3 Fast vs Voxtral Small 24B 2507

Gemini 2.5 Flash-Lite comes out ahead, 83 to 55 and 32 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
  2. Morph

    Morph V3 Fast

    Released Jul 7, 2025

    32/100
    • ECI—
    • Price$0.80 / $1.20
    • Context262K
  3. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.40
    • Context33K
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 Voxtral Small 24B 2507 (55) and Morph V3 Fast (32). 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 · Morph V3 Fast $0.90 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Morph V3 Fast 262,144 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Morph V3 Fast: Text · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingVoxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 2.5 Flash-LiteMorph V3 FastVoxtral Small 24B 2507
Price50%825082
Inputs & features30%100045
Context window20%61370
Overall100%83/10032/10055/100

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 Morph V3 Fast vs Voxtral Small 24B 2507 specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleMorph V3 FastMorphVoxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.10 (best)$0.80$0.10 (best)
Output$0.40 (best)$1.20$0.40 (best)
Cached input$0.01——
Blended (3:1)$0.175 (best)$0.90$0.175 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 5 providersOfficial Mistral API
Limits
Context window1,048,576 tokens (best)262,144 tokens32,768 tokens
Max output65,536 tokens131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioYesNoYes
VideoYesNoNo
ReasoningYesNoNo
Tool callingYesNoYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryOpenApache 2.0
API model IDgemini-2.5-flash-lite—voxtral-small-latest
API providers24 (best)510
ReleasedJun 17, 2025Jul 7, 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
  • Morph V3 Fast$10.40
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite, Morph V3 Fast 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 Morph V3 Fast (32). 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, Morph V3 Fast 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); Morph V3 Fast costs $0.80 input / $1.20 output per million tokens (median across 5 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 $0.90 for Morph V3 Fast (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, Morph V3 Fast 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, Morph V3 Fast and Voxtral Small 24B 2507 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.

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 Morph V3 Fast and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Morph V3 Fast 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; Morph V3 Fast 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?

Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite and Morph V3 Fast is proprietary.

Which is newer?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Morph V3 Fast came out Jul 7, 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.