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GLM 4.7 Flash

Z.aiReleased Jan 19, 2026Open weights · MITglm-4.7-flash

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Reasoning
yes
Knowledge cutoff
January 2026
Context
203K tokens
Max output
128k tokens
Input
text
API features
tools, structured outputs, JSON mode, seed, logprobs

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from Z.ai · cutoff: aiknowledgecutoff.com

Lowest input, per M$0.06at Venice
Cheapest cache, per M$0.01at Venice
Fastest43 tok/sat Cloudflare, on OpenRouter
Providers4serve this version

The cheapest host, Venice, serves fp8 weights (maker: bf16) and serves a 125K context (maker: 198K). Cheapest at the maker's precision and context: DeepInfra, $0.46 blended. Weights and context per host

Run it yourself

open weights, MIT · fits 6 of the 6 workstations in our guideSelf-host guide ›
Parameters
30B
3B active per token (MoE)
Memory needed
18 GB
in INT4 · 36 GB in INT8
Smallest cloud setup
RTX 3090
24 GB · $0.17/h, about $124 a month
Worth it above
270M tokens
a month, against the cheapest API at $0.46 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)18 GBRTX 3090 · $0.17/hsmallest footprint, minor quality loss
INT8 (Q8)36 GBA100 · $1.19/hnear-lossless
FP16 (full)72 GBA100 · $1.19/hreference quality

At home: in INT4 it fits a RTX 5090 (32 GB) + host PC (plus a host PC), about $3,500 once, or $0.1332/h over 3 years, electricity aside; it pays for itself after about 8B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
Venicefp8 (bf16) · 125K ctx (198K) · 16K out$0.06$0.40$0.01——99.9%Oct 19
DeepInfrabf16 · 198K ctx$0.06$0.40$0.01———Sep 10
Novita AIbf16 · 200K ctx · 125K out$0.07$0.40$0.01———Oct 23
Cloudflareprecision not stated · 128K ctx (198K)$0.0605$0.40—430.27 s100%Oct 23

4 of 4 providers · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
Venicefp8125K16Kyesyesyes
DeepInfrabf16198Knot stated by the host———
Cloudflarenot stated by the host128Knot stated by the hostyesyesyes
Novita AIbf16200K125Kyesnoyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

GLM 4.7 Flash spec sheet, field by field, with sources

GLM 4.7 Flash spec sheetmaker-declared

What Z.ai declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
202,752 tokens
Parameters
31,221,488,576≈ 31.2B
Active experts
4 of 64 active per token
Weight precision
BF16
License
MIT — open weights, permissivecurated · read 2026-09-07Scope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ January 2026 third-party estimate — not the maker's figurecurated
Modalities
text
Max output (official)
to verify
Release date
to verify≈ January 19, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
Glm4MoeLiteForCausalLM
Layers
47
Vocabulary
154,880 tokens
Weights first published
January 19, 2026
Weights last updated
January 29, 2026
Languages declared
English · Chinese

zai-org/GLM-4.7-Flash · config.json @ 7dd2089 · read 2026-10-08 · 6 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
Venice$0.26$0.68$0.64
DeepInfra$0.26$0.68$0.64
Cloudflare$0.26$0.68$0.64
Novita AI$0.27$0.76$0.68

What each host bills for 1,000 requests of a representative job

Your own workload

    Also serving GLM 4.7 Flash, without a published price

    No price we can verify, so no rank.

    Other Z.ai models · all its models, hosts and history ›