Moonshot vs Cerebras · synced 2026-08-11

kimi-k2-0905-preview vs zai-glm-4.6

kimi-k2-0905-preview is 3.8× cheaper on input than zai-glm-4.6.

kimi-k2-0905-preview zai-glm-4.6
Input / 1M $0.60 $2.25
Cached input / 1M $0.15
Output / 1M $2.50 $2.75
Context window 262K 128K
Max output 262K 128K
Provider Moonshot Cerebras
Vision No No
Tool calling Yes Yes
Token count estimated estimated

Capability for the money

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

kimi-k2-0905-preview is 2.2× cheaper than zai-glm-4.6 and scores higher on following instructions (IFBench) and hard reasoning (GPQA Diamond) — there is no case for paying more here.

  1. Following instructions

    extraction, classification, sticking to a format

    IFBench
    kimi-k2-0905-preview41.7%
    zai-glm-4.636.7%

    kimi-k2-0905-preview +5.0

  2. Coding

    writing and fixing code

    LiveCodeBench
    kimi-k2-0905-preview61.0%
    zai-glm-4.656.1%

    kimi-k2-0905-preview +4.9

  3. Tool use

    multi-step agent work against real tools

    τ²-bench
    kimi-k2-0905-preview73.4%
    zai-glm-4.676.9%

    zai-glm-4.6 +3.5

  4. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    kimi-k2-0905-preview76.7%
    zai-glm-4.663.2%

    kimi-k2-0905-preview +13.5

Averaged over the benchmarks both models sat, kimi-k2-0905-preview returns 58.8 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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