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Comparison · 2 models · Updated Nov 2, 2026

Codestral 25.08 vs Qwen3-VL Plus

Qwen3-VL Plus comes out ahead, 58 to 47 on our weighted score, though Codestral 25.08 is 18% cheaper per token.

  1. Mistral AI

    Codestral 25.08

    Released Jul 30, 2025

    47/100
    • ECI—
    • Price$0.30 / $0.90
    • Context128K
  2. Our pick

    Alibaba (Qwen)

    Qwen3-VL Plus

    Released Sep 23, 2025

    58/100
    • ECI—
    • Price$0.20 / $1.60
    • Context262K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3-VL Plus is our pick

Qwen3-VL Plus is the better all-round choice, scoring 58/100 against Codestral 25.08 (47). It leads on inputs & features and context window. Codestral 25.08 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 priceCodestral 25.08Codestral 25.08 $0.45 · Qwen3-VL Plus $0.55 per 1M tokens (3:1 blend)
  • Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · Codestral 25.08 128,000 tokens
  • Widest inputsQwen3-VL PlusCodestral 25.08: Text · Qwen3-VL Plus: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightCodestral 25.08Qwen3-VL Plus
Price50%6460
Inputs & features30%3570
Context window20%2437
Overall100%47/10058/100

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.

Codestral 25.08 vs Qwen3-VL Plus specifications side by side
SpecificationCodestral 25.08Mistral AIQwen3-VL PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.30$0.20 (best)
Output$0.90 (best)$1.60
Cached input$0.03 (best)$0.04
Blended (3:1)$0.45 (best)$0.55
Long-context rateSame rateOver 32K: $0.30 / $2.40
Price sourceOfficial Mistral APIOfficial Alibaba API
Limits
Context window128,000 tokens262,144 tokens (best)
Max output8,192 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDcodestral-2508qwen3-vl-plus
API providers11 (best)6
ReleasedJul 30, 2025Sep 23, 2025
Knowledge cutoff—Apr 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.

  • Codestral 25.08$4.80
  • Qwen3-VL Plus$5.20
04 — Questions

Which should you choose?

Which is better: Codestral 25.08 or Qwen3-VL Plus?

Qwen3-VL Plus is the better all-round choice, scoring 58/100 against Codestral 25.08 (47). It leads on inputs & features and context window. Codestral 25.08 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, Codestral 25.08 or Qwen3-VL Plus?

Codestral 25.08 is cheaper at $0.30 input / $0.90 output per million tokens (official Mistral API price). Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Codestral 25.08 versus $0.55 for Qwen3-VL Plus (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Codestral 25.08 has not been scored yet and Qwen3-VL Plus has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Codestral 25.08 and Qwen3-VL Plus 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?

Qwen3-VL Plus has the largest context window at 262,144 tokens, against 128,000 for Codestral 25.08. Maximum output per response: Codestral 25.08 up to 8,192, Qwen3-VL Plus up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Codestral 25.08 accepts text; Qwen3-VL Plus accepts text and images. Qwen3-VL Plus handles the widest range of inputs.

Are any of these open source?

No. Codestral 25.08 and Qwen3-VL Plus are proprietary and only available through APIs and apps.

Which is newer?

Qwen3-VL Plus is the newest, released Sep 23, 2025. Codestral 25.08 came out Jul 30, 2025. Knowledge cutoff: Qwen3-VL Plus 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.