Z.AI
UnrankedEnough results for an index.GLM-4.7-Flash
GLM-4.7-Flash is a reasoning model from Z.AI. It has 6 scored results in 4 categories. It has no index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.50%
SpeedOutput tokens per second.50/sMedian 67/s
First tokenSeconds to the first output token.0.3 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.061Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.40Median $2.55
ContextMaximum tokens in one request.200KMedian 262K
EloLMArena rating and rank.1351±6 #212Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
z-ai/glm-4.7-flash- Max outputMaximum output tokens per request.
- 118K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- —
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Where to run
APIs that serve this model.ProviderTypeMaker, cloud, host or router.InputOutputContext
US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).
Capabilities
Index per category, out of 100.Results
6 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseEuroEvalMITEpoch AICC BYmodels.devMITHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does GLM-4.7-Flash cost?
- $0.061 per 1M input tokens, $0.40 per 1M output tokens.
- How fast is GLM-4.7-Flash?
- 50 output tokens per second, 0.3 s to the first token.
- What is the context window of GLM-4.7-Flash?
- 200K tokens.
- Is GLM-4.7-Flash open source?
- Yes. Its weights are published.
- When was GLM-4.7-Flash released?
- January 2026.