GLM-5

Newer version available: GLM-5.3

Released
2026-02-11
Last refreshed
2026-10-17
Status
Researched 1d ago
Open sourceCommercial use: permittedCodingRAGAgentsLong contextClassificationJSON / Tool use
Zhipu AI releases · 15 in the last 12 months · this family litChangelog →
Specifications
Family
GLM-5
Released
2026-02-11
Context
200K
Max output
128K
Parameters
744B total, 40B active
Architecture
Mixture of Experts
Knowledge cutoff
2025-11
Specialization
general
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website
Pricing
Output / 1M
$3.20
Input / 1M
$1.00

Cheapest of 7 routes · Fireworks AI

About

Flagship open-weight foundation model from Zhipu AI with 744B parameters (40B active per token) in Mixture of Experts architecture. Trained on 28.5T tokens using DeepSeek Sparse Attention on Huawei Ascend hardware. Achieves state-of-the-art performance on coding and agentic benchmarks (SWE-bench Verified: 77.8%). Supports autonomous planning, multi-step tool use, and self-correction.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ D

Agents

Q/$ C

Providers(7)

Compare all 7

Compare API pricing across 7 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Fireworks AI$1.00$3.20-
Serverless
GCP Vertex AI$1.00$3.20-
Serverless
Novita AI$1.00$3.20-
Serverless
OpenRouter$1.00$3.20read $0.200
Serverless
Vercel AI Gateway$1.00$3.20read $0.200
Serverless
Z.ai$1.00$3.20read $0.200
Serverless
NVIDIA NIM---
ServerlessPartial

Deprecated provider routes(1)

ProviderStatusCatalog ID
Together AI
DeprecatedRetired June 22, 2026
—

Available via routers & gateways(14)

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

Benchmark peer barsfor Coding

Benchmark scores(9)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
55.1—Observed 2026-03-01—
77.8SWE-bench VerifiedObserved 2026-04-24—
82.1τ-benchObserved 2026-04-24—
62.8pass@1 (best of 5 runs)Observed 2026-05-28—
92.7AIME 2026 (accuracy)Observed 2026-06-07—
86.0GPQA Diamond (accuracy)Observed 2026-06-07—
30.5HLE text-only (accuracy)Observed 2026-06-07—
81.9LiveCodeBench v6 (accuracy)Observed 2026-06-07—
86.0From model card / Apex Agents listing (accuracy)Observed 2026-06-07—

Migration checks

No linked migration route is available for this model yet.

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