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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 Omni 30B A3B Thinking vs Codestral 25.08

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 47 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
    Full specs Remove Qwen3 Omni 30B A3B Thinking

  2. Mistral AI

    Codestral 25.08

    Released Jul 30, 2025

    47/100
    • ECI—
    • Price$0.30 / $0.90
    • Context128K
    Full specs Remove Codestral 25.08

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3 Omni 30B A3B Thinking is our pick

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Codestral 25.08 (47). It leads on inputs & features. Codestral 25.08 wins on 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 priceQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking $0.43 · Codestral 25.08 $0.45 per 1M tokens (3:1 blend)
  • Longest contextCodestral 25.08Codestral 25.08 128,000 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
  • Widest inputsQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video · Codestral 25.08: Text
  • Self-hostingQwen3 Omni 30B A3B ThinkingPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightQwen3 Omni 30B A3B ThinkingCodestral 25.08
Price50%6464
Inputs & features30%8035
Context window20%1224
Overall100%59/10047/100

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.

Qwen3 Omni 30B A3B Thinking vs Codestral 25.08 specifications side by side
SpecificationQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)Codestral 25.08Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.25 (best)$0.30
Output$0.97$0.90 (best)
Cached input—$0.03
Blended (3:1)$0.43 (best)$0.45
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Mistral API
Limits
Context window65,536 tokens128,000 tokens (best)
Max output16,384 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioYesNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0Proprietary
API model ID—codestral-2508
API providers111 (best)
ReleasedSep 22, 2025Jul 30, 2025
Knowledge cutoff——
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.

  • Qwen3 Omni 30B A3B Thinking$4.44
  • Codestral 25.08$4.80
04 — Questions

Which should you choose?

Which is better: Qwen3 Omni 30B A3B Thinking or Codestral 25.08?

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Codestral 25.08 (47). It leads on inputs & features. Codestral 25.08 wins on 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, Qwen3 Omni 30B A3B Thinking or Codestral 25.08?

Qwen3 Omni 30B A3B Thinking is cheaper at $0.25 input / $0.97 output per million tokens (median across 1 API provider). Codestral 25.08 costs $0.30 input / $0.90 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.43 per million tokens for Qwen3 Omni 30B A3B Thinking versus $0.45 for Codestral 25.08 (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 Omni 30B A3B Thinking has not been scored yet and Codestral 25.08 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Omni 30B A3B Thinking and Codestral 25.08 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Codestral 25.08 has the largest context window at 128,000 tokens, against 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: Qwen3 Omni 30B A3B Thinking up to 16,384, Codestral 25.08 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video; Codestral 25.08 accepts text. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Are any of these open source?

Qwen3 Omni 30B A3B Thinking publishes its weights (Apache-2.0) and can be self-hosted; Codestral 25.08 is proprietary.

Which is newer?

Qwen3 Omni 30B A3B Thinking is the newest, released Sep 22, 2025. Codestral 25.08 came out Jul 30, 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

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