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Comparison · 3 models · Updated Nov 2, 2026

Codestral 25.08 vs ERNIE 4.5 300B A47B vs ERNIE 4.5 VL 424B A47B

Codestral 25.08 comes out ahead, 47 to 44 and 43 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Mistral AI

    Codestral 25.08

    Released Jul 30, 2025

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

  2. Baidu

    ERNIE 4.5 300B A47B

    Released Jun 30, 2025

    43/100
    • ECI—
    • Price$0.28 / $1.10
    • Context131K
    Full specs Remove ERNIE 4.5 300B A47B

  3. Baidu

    ERNIE 4.5 VL 424B A47B

    Released Jun 30, 2025

    44/100
    • ECI—
    • Price$0.42 / $1.25
    • Context123K
    Full specs Remove ERNIE 4.5 VL 424B A47B
01 — Verdict

Codestral 25.08 is our pick

Codestral 25.08 is the better all-round choice, scoring 47/100 against ERNIE 4.5 VL 424B A47B (44) and ERNIE 4.5 300B A47B (43). 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 · ERNIE 4.5 300B A47B $0.485 · ERNIE 4.5 VL 424B A47B $0.627 per 1M tokens (3:1 blend)
  • Longest contextERNIE 4.5 300B A47BERNIE 4.5 300B A47B 131,072 · Codestral 25.08 128,000 · ERNIE 4.5 VL 424B A47B 123,000 tokens
  • Widest inputsERNIE 4.5 VL 424B A47B Codestral 25.08: Text · ERNIE 4.5 300B A47B: Text · ERNIE 4.5 VL 424B A47B : Text, Images
  • Self-hostingERNIE 4.5 300B A47B and ERNIE 4.5 VL 424B A47B Publishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightCodestral 25.08ERNIE 4.5 300B A47BERNIE 4.5 VL 424B A47B
Price50%646257
Inputs & features30%352535
Context window20%242523
Overall100%47/10043/10044/100

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 ERNIE 4.5 300B A47B vs ERNIE 4.5 VL 424B A47B specifications side by side
SpecificationCodestral 25.08Mistral AIERNIE 4.5 300B A47BBaiduERNIE 4.5 VL 424B A47B Baidu
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.30$0.28 (best)$0.42
Output$0.90 (best)$1.10$1.25
Cached input$0.03——
Blended (3:1)$0.45 (best)$0.485$0.627
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 1 providersMedian of 1 providers
Limits
Context window128,000 tokens131,072 tokens (best)123,000 tokens
Max output8,192 tokens12,000 tokens16,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoYes
Tool callingYesYesNo
Structured outputYesNoNo
Availability
WeightsProprietaryOpenApache-2.0Open
API model IDcodestral-2508——
API providers11 (best)11
ReleasedJul 30, 2025Jun 30, 2025Jun 30, 2025
Knowledge cutoff——Mar 31, 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
  • ERNIE 4.5 300B A47B$5.00
  • ERNIE 4.5 VL 424B A47B $6.70
04 — Questions

Which should you choose?

Which is better: Codestral 25.08, ERNIE 4.5 300B A47B or ERNIE 4.5 VL 424B A47B ?

Codestral 25.08 is the better all-round choice, scoring 47/100 against ERNIE 4.5 VL 424B A47B (44) and ERNIE 4.5 300B A47B (43). 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, ERNIE 4.5 300B A47B or ERNIE 4.5 VL 424B A47B ?

Codestral 25.08 is cheaper at $0.30 input / $0.90 output per million tokens (official Mistral API price). ERNIE 4.5 300B A47B costs $0.28 input / $1.10 output per million tokens (median across 1 API provider); ERNIE 4.5 VL 424B A47B costs $0.42 input / $1.25 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Codestral 25.08 versus $0.485 for ERNIE 4.5 300B A47B (1.1× as much) and $0.627 for ERNIE 4.5 VL 424B A47B (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Codestral 25.08 has not been scored yet, ERNIE 4.5 300B A47B has not been scored yet and ERNIE 4.5 VL 424B A47B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Codestral 25.08, ERNIE 4.5 300B A47B and ERNIE 4.5 VL 424B A47B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ERNIE 4.5 VL 424B A47B does not support tool calling, which most coding agents need.

Which has the bigger context window?

ERNIE 4.5 300B A47B has the largest context window at 131,072 tokens, against 128,000 for Codestral 25.08 and 123,000 for ERNIE 4.5 VL 424B A47B . Maximum output per response: Codestral 25.08 up to 8,192, ERNIE 4.5 300B A47B up to 12,000, ERNIE 4.5 VL 424B A47B up to 16,000 tokens.

Which can read images, PDFs, audio or video?

Codestral 25.08 accepts text; ERNIE 4.5 300B A47B accepts text; ERNIE 4.5 VL 424B A47B accepts text and images. ERNIE 4.5 VL 424B A47B handles the widest range of inputs.

Are any of these open source?

ERNIE 4.5 300B A47B and ERNIE 4.5 VL 424B A47B publishes its weights (Apache-2.0) and can be self-hosted; Codestral 25.08 is proprietary.

Which is newer?

Codestral 25.08 is the newest, released Jul 30, 2025. ERNIE 4.5 300B A47B came out Jun 30, 2025; ERNIE 4.5 VL 424B A47B came out Jun 30, 2025. Knowledge cutoff: ERNIE 4.5 VL 424B A47B Mar 31, 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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