ZMIME
Comparison · 3 models · Updated Nov 2, 2026

ERNIE 4.5 21B A3B vs Gemini 2.5 Flash-Lite vs Voxtral Small 24B 2507

Gemini 2.5 Flash-Lite comes out ahead, 83 to 57 and 55 on our weighted score, though ERNIE 4.5 21B A3B is 30% cheaper per token.

  1. Baidu

    ERNIE 4.5 21B A3B

    Released Jun 30, 2025

    57/100
    • ECI—
    • Price$0.07 / $0.28
    • Context131K
  2. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    83/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
  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 ERNIE 4.5 21B A3B (57) and Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. ERNIE 4.5 21B A3B wins on price. 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 priceERNIE 4.5 21B A3BERNIE 4.5 21B A3B $0.122 · Gemini 2.5 Flash-Lite $0.175 · Voxtral Small 24B 2507 $0.175 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · ERNIE 4.5 21B A3B 131,072 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsGemini 2.5 Flash-LiteERNIE 4.5 21B A3B: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingERNIE 4.5 21B A3B and Voxtral Small 24B 2507Publishes downloadable weights (Apache-2.0 and Apache 2.0)
How the score is built
MeasureWeightERNIE 4.5 21B A3BGemini 2.5 Flash-LiteVoxtral Small 24B 2507
Price50%898282
Inputs & features30%2510045
Context window20%25610
Overall100%57/10083/10055/100

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.

ERNIE 4.5 21B A3B vs Gemini 2.5 Flash-Lite vs Voxtral Small 24B 2507 specifications side by side
SpecificationERNIE 4.5 21B A3BBaiduGemini 2.5 Flash-LiteGoogleVoxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.07 (best)$0.10$0.10
Output$0.28 (best)$0.40$0.40
Cached input—$0.01—
Blended (3:1)$0.122 (best)$0.175$0.175
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Google APIOfficial Mistral API
Limits
Context window131,072 tokens1,048,576 tokens (best)32,768 tokens
Max output8,000 tokens65,536 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoYesYes
VideoNoYesNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenApache-2.0ProprietaryOpenApache 2.0
API model ID—gemini-2.5-flash-litevoxtral-small-latest
API providers124 (best)10
ReleasedJun 30, 2025Jun 17, 2025Jul 15, 2025
Knowledge cutoff—Jan 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.

  • ERNIE 4.5 21B A3B$1.26
  • Gemini 2.5 Flash-Lite$1.80
  • Voxtral Small 24B 2507$1.80
04 — Questions

Which should you choose?

Which is better: ERNIE 4.5 21B A3B, Gemini 2.5 Flash-Lite or Voxtral Small 24B 2507?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against ERNIE 4.5 21B A3B (57) and Voxtral Small 24B 2507 (55). It leads on inputs & features and context window. ERNIE 4.5 21B A3B wins on price. 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, ERNIE 4.5 21B A3B, Gemini 2.5 Flash-Lite or Voxtral Small 24B 2507?

ERNIE 4.5 21B A3B is cheaper at $0.07 input / $0.28 output per million tokens (median across 1 API provider). Gemini 2.5 Flash-Lite costs $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). At a typical mix of three input tokens to one output token, that is $0.122 per million tokens for ERNIE 4.5 21B A3B versus $0.175 for Gemini 2.5 Flash-Lite (1.4× as much) and $0.175 for Voxtral Small 24B 2507 (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. ERNIE 4.5 21B A3B has not been scored yet, Gemini 2.5 Flash-Lite 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 ERNIE 4.5 21B A3B, Gemini 2.5 Flash-Lite 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 ERNIE 4.5 21B A3B and 32,768 for Voxtral Small 24B 2507. Maximum output per response: ERNIE 4.5 21B A3B up to 8,000, Gemini 2.5 Flash-Lite up to 65,536, Voxtral Small 24B 2507 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

ERNIE 4.5 21B A3B accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio 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?

ERNIE 4.5 21B A3B and Voxtral Small 24B 2507 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?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. ERNIE 4.5 21B A3B came out Jun 30, 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.