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ModelCap

GLM 4.7 Flash

All-versions archive #196Arena #186Official publisher releaseOpen weights

Z.ai·z-ai/glm-4.7-flash

GLM 4.7 Flash is ModelCap archive rank #196 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

GLM 4.7 Flash listed OpenRouter input price is $0.061 per 1M tokens and listed output price is $0.40 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

GLM 4.7 Flash has a published context limit of 200K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GLM 4.7 Flash has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

GLM 4.7 Flash weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
44.0#196
Measured · 63% support · score interval 39.0–49.0
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
47.3Decreased by 0.7
Secondary market signal

Superseded by GLM 5.3 Flash. It no longer holds a current-board position; its all-versions archive rank is #196.

Input
$0.061
per 1M tokens
Output
$0.40
per 1M tokens
Context
200K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Venicefp8Cheapest$0.06$0.40128Kfp8100.0%
Cloudflare$0.061$0.40131K99.63%
Novitabf16$0.07$0.40200Kbf1649.24%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.06$0.40203K3782 ms13.6 tok/stools · structured
novita
live
$0.07$0.40200K2506 ms85.9 tok/stools
featherless-ai
live
zai-org
live · model author
1449 ms89.6 tok/stools

Reported evaluation leads (3)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
14.4
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
75.2
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
59.2
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
44.0
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#196
Public rank basis
Measured (measured)
Index support
62.5% · strong
Index interval
39.0–49.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · z-ai/z-ai/glm-4.7-flash · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-4.7-Flash@7dd20894a642a0aa287e9827cb1a1f7f91386b67 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
44.0
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
44.0
Evidence status
confirmed · 77% mass
General preference
44.0
Coding
43.6
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
13.7
Liquidity (providers × uptime)
92.4
Open reach (HF downloads)
97.7
Surface (context / tools / modalities)
73.3
Freshness
39.3
  • · OpenRouter popularity #146
  • · 3 live providers
  • · HF 30d downloads 1844121
  • · Catalogue: context 200000, reasoning, tools
  • · First seen 2026-01-19

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
83.4
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
91.6
Evaluation provenance
52.0

Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
47.3
OpenRouter weekly popularity
#146 of 322

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#186 of 402
Rating
1366.3
95% confidence interval
1360–1372
Votes
11K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
13.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
92.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
97.7

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
39.3

Time since first public availability, on a six-month half-life.

Specification

Context window
200K tokens
Max output
118K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
19 Jan 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
7dd20894a642
Parameters
31.2B
Architecture
Glm4MoeLiteForCausalLM
Model type
glm4_moe_lite
Hugging Face downloads (30d)
1.8M
Downloads (all time)
13.8M
Likes
2K
Repository updated
29 Jan 2026, 08:06 UTC

Benchmark leaderboards featuring GLM 4.7 Flash

All leaderboards
Public benchmark boards on which GLM 4.7 Flash has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14251414–1437#177 of 397Default13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis98.8%#3 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GLM-4.7-Flash (Reasoning)":reasoning=true13 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis7.6%#329 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-4.7-Flash (Reasoning)":reasoning=true13 Sept 2026

GLM 4.7 Flash: common questions

How does GLM 4.7 Flash rank among AI models?

GLM 4.7 Flash is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does GLM 4.7 Flash cost per 1M tokens?

GLM 4.7 Flash is listed at $0.061 per 1M input tokens and $0.40 per 1M output tokens as of 22 September 2026 across 3 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.321 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GLM 4.7 Flash?

GLM 4.7 Flash has a published context window of 200K tokens (200,000) and a maximum output of 118K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GLM 4.7 Flash open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is zai-org/GLM-4.7-Flash on Hugging Face.

Which API providers serve GLM 4.7 Flash?

3 providers serve GLM 4.7 Flash through OpenRouter as of 22 September 2026: Venice, Cloudflare and Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GLM 4.7 Flash been evaluated on?

GLM 4.7 Flash has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1425 (#177 of 397), AA τ²-Bench Telecom 98.8% (#3 of 436) and AA Humanity's Last Exam 7.6% (#329 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was GLM 4.7 Flash released?

GLM 4.7 Flash first appeared in the catalogue on 19 Jan 2026. It has since been superseded by GLM 5.3 Flash. Rank and price movements since then are recorded on the site's changes feed.