Zhipu AI / Z.ai

GLM 4.7

Type
language model
Context
205K tokens
Max output
131K
Released
22 December 2025
Knowledge cutoff
January 2025
API string
glm-4.7
Weights
open

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
NanoGPT zai-org/glm-4.7 $0.15 $0.8 31 Jul 2026
meganova $0.2 $0.8 31 Jul 2026
crof $0.25 $1.1 31 Jul 2026
ZenMux $0.28 $1.14 31 Jul 2026
302.AI $0.286 $1.142 31 Jul 2026
Kilo Code $0.38 $1.98 31 Jul 2026
LLM Gateway $0.38 $1.98 31 Jul 2026
gmi $0.4 $2 31 Jul 2026
DeepInfra $0.4 $1.75 31 Jul 2026
OpenRouter openrouter/z-ai/glm-4.7 $0.4 $1.5 31 Jul 2026
OpenRouter z-ai/glm-4.7 $0.4 $1.75 31 Jul 2026
dinference $0.45 $1.65 31 Jul 2026
Cortecs $0.45 $2.23 31 Jul 2026
Together AI $0.45 $2 31 Jul 2026
CrossModel $0.47 $2.16 31 Jul 2026
novita-ai $0.6 $2.2 31 Jul 2026
zai $0.6 $2.2 31 Jul 2026
tensorx $0.6 $2.2 2 Aug 2026
Abacus.AI $0.6 $2.2 31 Jul 2026
Baseten $0.6 $2.2 31 Jul 2026
Fireworks AI $0.6 $2.2 1 Aug 2026
Google Vertex AI $0.6 $2.2 31 Jul 2026
Hugging Face $0.6 $2.2 31 Jul 2026
Jiekou.AI $0.6 $2.2 31 Jul 2026
Merge Gateway $0.6 $2.2 31 Jul 2026
Novita AI $0.6 $2.2 31 Jul 2026
OpenCode Zen $0.6 $2.2 31 Jul 2026
OrcaRouter $0.6 $2.2 31 Jul 2026
Vercel $0.6 $2.2 31 Jul 2026
Z.ai $0.6 $2.2 31 Jul 2026
berget $0.77 $2.75 31 Jul 2026
NanoGPT TEE/glm-4.7 $0.85 $3.3 31 Jul 2026
Cerebras $2.25 $2.75 31 Jul 2026
moark $3.5 $14 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score, programming 1,455.74 1,444–1,468 — —
Arena Score in English 1,454.08 1,446–1,462 — —
Arena Score, multi-turn dialogue 1,447.98 1,434–1,461 — —
Arena Score, hard prompts 1,443.98 1,436–1,452 — —
Arena Score, overall 1,435.84 1,430–1,442 — —
Arena Score, long queries 1,434.14 1,424–1,445 — —
Arena Score, web development 1,433.46 1,421–1,446 — —
Arena Score in Russian 1,427.75 1,412–1,443 — —
Arena Score in French 1,426.59 1,390–1,463 — —
Arena Score, mathematics 1,423.31 1,402–1,444 — —
Arena Score, expert questions 1,420.1 1,398–1,442 — —
Arena Score in Spanish 1,416.62 1,384–1,449 — —
Arena Score, instruction following 1,413.6 1,403–1,424 — —
Arena Score, creative writing 1,402.36 1,389–1,416 — —
Mock AIME 2024–2025 — olympiad problems 83.32 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 77.78 % · with a tuned harness Epoch evaluations
SimpleBench — trick questions 37.24 % — SimpleBench Leaderboard
Terminal-Bench — working in the command line 33.4 % · with a tuned harness —
SimpleQA Verified — factual accuracy 31.5 % — Epoch evaluations
APEX-Agents 8.7 % — —
Chess puzzles 1.09 % — Epoch evaluations