Z.ai (GLM)
GLM 5
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Cost / 1M tokens
Medium usage$1.00
input
$0.20
cached input
$3.20
output
Context Window
205K
Up to 131K max output
Modalities
text → text
Other tokenizer
Quickstart & API
z-ai/glm-5Best for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Open-source AI workflows
Verified Evaluations
Benchmarks & Frontier Comparison
How GLM 5 compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | GLM 5 | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | — | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | — | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | — | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | — | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | — | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | — | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 27.9 | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $1.00 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $3.20 | $0.60 | $4.40 | $10.00 | $20.00 |
Artificial Analysis Intelligence Index
Artificial Analysis
Design Arena: ANDROIDNATIVE
Design Arena · Rank #25 (55.2% win)
Design Arena: FULLSTACK
Design Arena · Rank #27 (51.7% win)
Design Arena: GODOTGAMEDEV
Design Arena · Rank #21 (46.7% win)
Design Arena: HTMLSLIDES
Design Arena · Rank #20 (45.1% win)
Active Provider Endpoints (9)
Upstream inference providers serving GLM 5, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
StreamLakecache streamlake/fp8 | $0.60 | $1.92 | $0.12 | 198K | 128K | fp8 | 100.0% |
GMICloudcache gmicloud/fp8 | $0.60 | $1.92 | $0.12 | 203K | 182K | fp8 | 99.6% |
Baiducache baidu/fp8 | $0.70 | $2.24 | $0.14 | 203K | 131K | fp8 | 98.8% |
SiliconFlowcache siliconflow/fp8 | $0.95 | $2.55 | $0.20 | 205K | 131K | fp8 | 99.8% |
Amazon Bedrock amazon-bedrock | $1.00 | $3.20 | — | 203K | 131K | — | 100.0% |
Venicecache venice/fp8 | $1.00 | $3.20 | $0.20 | 198K | 32K | fp8 | 100.0% |
Novitacache novita/fp8 | $1.00 | $3.20 | $0.20 | 203K | 131K | fp8 | 100.0% |
Z.AIcache z-ai/fp8 | $1.00 | $3.20 | $0.20 | 203K | 131K | fp8 | 99.5% |
Venicecache venice/turbo | $1.20 | $4.00 | $0.24 | 200K | 33K | — | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
Deep-Dive Benchmarks & Teardowns
Independent benchmark analysis and real-world agent billing teardowns featuring GLM 5.
2026-09-21 · 11 min read
GLM 5.3 Flash vs. DeepSeek V4.1 Flash: which is better at agentic coding?
Both labs ship a million-token context, MIT weights, and a ~$0.15-per-million price tag. On the independent harnesses that have actually run both models — vals.ai's Vibe Code Bench and Terminal-Bench 2.1, BenchLM's Vibe Code Bench 1-100, and Artificial Analysis' v4.3 index — DeepSeek V4.1 Flash wins agentic coding, and by a wider margin than either vendor's own table suggests.
2026-08-05 · 7 min read
Did DeepSeek V4 Flash just dethrone GLM 5.2?
DeepSeek V4 Flash costs 10× less than GLM-5.2 and matches or beats it on several coding benchmarks. But GLM-5.2 still leads on broad intelligence and reasoning. Here’s the full head-to-head with charts and a comparison table.
Compare Similar Models
Browse all models →Z.ai (GLM)
GLM 5.3 Prime
GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token...
Z.ai (GLM)
GLM 5.3 FlashX
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...
Z.ai (GLM)
GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Z.ai (GLM)
GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Anthropic
Claude Opus 5.5
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
Moonshot AI
Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...