xAI vs Cerebras · synced 2026-08-11

grok-4-1-fast vs zai-glm-4.7

grok-4-1-fast is 11.3× cheaper on input than zai-glm-4.7.

grok-4-1-fast zai-glm-4.7
Input / 1M $0.20 $2.25
Cached input / 1M $0.05
Output / 1M $0.50 $2.75
Context window 2M 128K
Max output 2M 128K
Provider xAI 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-4.7 leads grok-4-1-fast by 49.5 points on coding (LiveCodeBench), for 8.6× the price.

  1. Following instructions

    extraction, classification, sticking to a format

    IFBench
    grok-4-1-fast36.5%
    zai-glm-4.767.9%

    zai-glm-4.7 +31.4

  2. Coding

    writing and fixing code

    LiveCodeBench
    grok-4-1-fast39.9%
    zai-glm-4.789.4%

    zai-glm-4.7 +49.5

  3. Tool use

    multi-step agent work against real tools

    τ²-bench
    grok-4-1-fast63.7%
    zai-glm-4.795.9%

    zai-glm-4.7 +32.2

  4. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    grok-4-1-fast63.7%
    zai-glm-4.785.9%

    zai-glm-4.7 +22.2

Averaged over the benchmarks both models sat, grok-4-1-fast returns 185.3 points of pass rate per dollar of blended price against 35.7 — 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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