Mistral vs Cerebras · synced 2026-08-11

ministral-8b-latest vs zai-glm-4.6

ministral-8b-latest is 15.0× cheaper on input than zai-glm-4.6.

ministral-8b-latest zai-glm-4.6
Input / 1M $0.15 $2.25
Cached input / 1M
Output / 1M $0.15 $2.75
Context window 262K 128K
Max output 262K 128K
Provider Mistral Cerebras
Vision Yes No
Tool calling Yes Yes
Token count estimated estimated

Capability for the money

Independent measurement · Artificial Analysis · read 2026-08-11

Not the same tier: zai-glm-4.6 leads ministral-8b-latest by 50.3 points on tool use (τ²-bench), for 15.8× the price.

  1. Following instructions

    extraction, classification, sticking to a format

    IFBench
    ministral-8b-latest29.1%
    zai-glm-4.636.7%

    zai-glm-4.6 +7.6

  2. Coding

    writing and fixing code

    LiveCodeBench
    ministral-8b-latest30.3%
    zai-glm-4.656.1%

    zai-glm-4.6 +25.8

  3. Tool use

    multi-step agent work against real tools

    τ²-bench
    ministral-8b-latest26.6%
    zai-glm-4.676.9%

    zai-glm-4.6 +50.3

  4. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    ministral-8b-latest47.1%
    zai-glm-4.663.2%

    zai-glm-4.6 +16.1

Averaged over the benchmarks both models sat, ministral-8b-latest returns 221.8 points of pass rate per dollar of blended price against 24.5 — the ratio that decides whether the dearer model earns its rate.

Each figure is a pass rate: the share of that test set the model answered correctly, measured by a third party rather than self-reported by the lab. Rows are different tests of different difficulty, so compare a model against the other model, not one row against the next. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.

Which to pick

List price is not production cost. Output length, cache hit rate, retries and task quality move the real number more than the headline rate does — price your own prompt on the token ledger before deciding.

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