Today's price · per 1M tokens
Input
$0.600
per 1M tokens
Output
$2.20
per 1M tokens
Blended
$1.40
avg of input & output $/1M
Cached input
$0.110
18% of input — prompt caching
Overview
Z.AI's GLM-4.7 — a development-focused open model with gains in agentic coding and multi-step reasoning (~73.8% SWE-bench) and stable 'think-then-act' execution in Claude Code, Cline, and similar agents. $0.60/$2.20 per 1M tokens.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA Intelligence Index: 33.7 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA Agentic Index: 25.4 (Tool use, planning, autonomy)
- AA-Omniscience Index: -34.6 (−100–100)
- LMSYS Chatbot Arena: 1442.1 ELO (Human preference)
- Ranks #75 of 133 comparably-measured models by percentile score, across 4 independent measurements
- Ranks #56 of 133 comparably-tested models by normalized performance per dollar
Source: LMSYS Chatbot Arena (UC Berkeley) · updated Jun 29, 2026 · See full rankings →
Specifications
- Provider
- Z.AI
- Context window
- 128K tokens
- Modality
- text
- Parameters
- Proprietary
- Open source
- Yes — open weights available
- Released
- Jun 1, 2025
- Status
- Current
- Last updated
- Jun 25, 2026
- Tags
Availability verified: Not re-verified. We have no recent evidence that Z.AI still lists this model — treat availability as unconfirmed.