ModelPriceWatch.com
Last scan 2026-09-05 Models tracked 248 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GLM-5.3

by Together

Current new · 22d mid tier open weights mid tier

Today's price · per 1M tokens

Input

$1.40

per 1M tokens

Output

$4.40

per 1M tokens

Blended

$2.15

blended $/1M — 3:1 weighted input:output

Cached input

$0.260

19% of input — prompt caching

How this price is scoped: Read 2026-09-05 from Together's own serverless-models card (docs.together.ai/docs/serverless-models, the markdown surface the context gate also reads): zai-org/GLM-5.3 at input $1.40 / cached input $0.26 / output $4.40, context 1048575, quantization FP4. The triple is identical to Z.AI's first-party rate and to Fireworks' Standard rate for the same SKU. The 1,048,575-token window is what Together's card lists for THIS endpoint (docs/CONTEXT_WINDOW_CONVENTION.md) — it is Together's served window, not a claim read off the maker.

Source: official Together pricing · read MODELPRICEWATCH.COM · 2026-09-05

Price receipt

We read Together's own pricing page on and found GLM-5.3 listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 2caf9e5bc6.

GLM-5.3 is available on 3 hosts. See the full cheapest-first comparison on the consolidated GLM-5.3 page →

Overview

Z.AI's GLM-5.3 on Together. $1.40/$4.40 per 1M; cached input $0.26. Together serves it at 1,048,575 tokens in FP4.

Run it yourself

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Capabilities

struck through = not supported
Input 1/5
Text Image Audio Video PDF
Output 1/5
Text Image Audio Video Embedding
Features 3/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 87.9th4 independent measurements
Percentile per $/Mtok 40.9

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 48.6 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 53.6 (Tool use, planning, autonomy)
  • AA-Omniscience Index: 14.3 (−100–100)
  • GDPval-AA v2: 1680.9 ELO (Real-world work tasks, human baseline = 1000)
How it stacks up
  • Ranks #8 of 180 comparably-measured models by percentile score, across 4 independent measurements
  • Ranks #66 of 180 comparably-tested models by normalized performance per dollar

71.6 tokens/sec output

Source: Artificial Analysis · updated · See full rankings →

Specifications

Provider
Together
Context window
1M tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
cachingmid-tieropen-weights

Availability verified: listed on Together's own page