GLM-4.7-FlashX

by Z.ai (Zhipu AI)Chat

Efficient GLM model for fast reasoning, coding, and agent workflows

Context
200K tokens
Max output
131,072 tokens
Released
2026-01-19
Weights
Open

zhipuai/glm-4-7-flashx · also seen as zai/glm-4.7-flashx, z-ai/glm-4.7-flashx

Specifications

Full facts as recorded, incl. what is unknown.

Released
2026-01-19
Weights
Open
Input
Text
Output
Text
Context window
200,000 max across endpoints
Max output
131,072
Providers
2 + 7 gateways, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.07 in · $0.40 out per 1M tokens · across all 2 providers
More details
Last updated
2026-01-19
Knowledge cutoff
2025-04

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messagesunknown
  • Assistant prefillunknown
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

No change since 19 Oct 2026. The cheapest direct price has been $0.07 in / $0.40 out per 1M tokens at Z.AI on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs GLM-4.7-FlashX
Qwen2.5 7B InstructAlibaba (Qwen)$0.117$0.10$0.20131K+0%
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Muse Spark 1.3 ContributorMeta$0.117$0.10$0.201.05M+0%
Reka Flash 3Reka$0.117$0.10$0.2065.5K+0%
Apertus 8B InstructSwiss AI$0.117$0.10$0.2065.5K+0%
GLM-4.7-FlashZ.ai (Zhipu AI)$0.117$0.06$0.40200K+0%
Qwen3 30B A3b fp8Alibaba (Qwen)$0.115$0.08$0.29129K−1% cheaper

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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model