GLM-4.7 Flash
Z.aiKey glm-4.7-flashAlso reported as hf:zai-org/glm-4.7-flash, z-ai/glm-4.7-flash, zai-org/glm-4.7-flash, zhipuai/glm-4.7-flash, @cf/zai-org/glm-4.7-flash, workers-ai/@cf/zai-org/glm-4.7-flash
- Rank
- #333
- by active users
- Active users
- 1
- No change from 1 active users in the previous 7 days. vs previous 7 days
- Adoption
- 0.2%
- of 600 accounts
- Tokens
- 45.5K
- cache included
- Est. cost
- —
- at public list prices
- First seen
- Jan 19, 2026
- in any submission
Nov 7–13, 2026 (UTC)600 accounts100% of tokens from an identified modelData through Nov 13, 2026, 02:16 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
0 active users on Nov 13, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 7, 2026 | 1 | 1.4K |
| Nov 8, 2026 | 1 | 5.3K |
| Nov 9, 2026 | 1 | 10.1K |
| Nov 10, 2026 | 1 | 7.4K |
| Nov 11, 2026 | 1 | 21.3K |
| Nov 12, 2026 | 0 | 0 |
| Nov 13, 2026 | 0 | 0 |
Token mix
How the 45.5K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input15%
- Output78%
- Cache read6.9%
- Cache write0%
- Reasoning0%
Agents that carry GLM-4.7 Flash
Each agent's share of this model's tokens, and how many accounts used the model through it.
Hermes Agent100% of this model's tokens1active users
Benchmarks
The best result for GLM-4.7 Flash in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.
- GPQA DiamondReasoning · Epoch AI60.5%
GPQA Diamond: 60.5%
- Model
- GLM-4.7 Flash
- Listed as
- glm-4.7-flash
- Conditions
- Not reported
- Unit
- % correct
- Run date
- Aug 30, 2026
- Retrieved
- Nov 12, 2026
Best of 2 reported results for this model.
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #123 of 160 matched modelsNo conditions reportedRun date Aug 30, 2026Source: epoch.ai (opens in a new tab)Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
Show 1 more result with other run conditionsHide the other results
- Listed as glm-4.7-flash_none45.1%
GPQA Diamond: 45.1%
- Model
- GLM-4.7 Flash
- Listed as
- glm-4.7-flash_none
- Conditions
- No reasoning
- Unit
- % correct
- Run date
- Aug 30, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Z.AI is the lab's own API and the reference price for the estimates below.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0
- Est. per 1M tokens
6.9% cache reads - At the community mix
- $0
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $0
- Per 1M tokens at list prices
No cache
Cache reads were 6.9% of GLM-4.7 Flash tokens in the last 7 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- Z.AI list prices per 1M tokens: input $0, output $0, cache read $0, cache write $0.
- This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
- The community mix is the tokens of every identified model in the last 7 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
List prices by provider
- Z.AIReference
glm-4.7-flash$0 input per 1M tokens$0 output per 1M tokens$0 cache read per 1M tokens$0 cache write per 1M tokens200K tokens of context - Amazon Bedrock
zai.glm-4.7-flash$0.07 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed203K tokens of context - OpenRouter
z-ai/glm-4.7-flash$0.06 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed200K tokens of context - Vercel AI Gateway
zai/glm-4.7-flash$0.07 input per 1M tokens$0.40 output per 1M tokensCache read not listedCache write not listed200K tokens of context - Deep Infra
zai-org/GLM-4.7-Flash$0.06 input per 1M tokens$0.40 output per 1M tokens$0.01 cache read per 1M tokensCache write not listed203K tokens of context
Specs
From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 200K tokens
- Max output
- 131K tokens
- Input
- Text
- Output
- Text
- Knowledge cutoff
- Apr 2025
- Release date
- Jan 19, 2026
- Open weights
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used GLM-4.7 Flash most in this period, by tokens. Hidden accounts are never listed.
- 1
rharmanca@rharmanca45.5Ktokens—est. cost5active daysno price · 5 active days
More from Z.ai
Other Z.ai models in the same period, by active users.
- GLM-5.3 Flash8.3% adoption50active users
- GLM-5.37.7% adoption46active users
- GLM-5.3 Flash Free2.0% adoption12active users
- GLM-5.20.7% adoption4active users
- GLM-5.3 Flash Ultrafast0.5% adoption3active users
- GLM-5 3 Flash0.5% adoption3active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.