GLM-4.6 8B: pricing, context window and benchmarks
GLM-4.6 8B is a small open-weight model from Zhipu AI. It offers a 8,192-token context window, costs $1.69 per million input tokens and $8.38 per million output tokens, and averages 63.1 across the index's benchmark suite.
Pricing
GLM-4.6 8B costs $1.69 per million input tokens and $8.38 per million output tokens. A blended 3:1 input-to-output mix works out to about $3.36 per million tokens. Cached input is listed at $0.23 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.69 | per 1M tokens |
| Output | $8.38 | per 1M tokens |
| Cached input | $0.23 | per 1M tokens |
| Blended 3:1 | $3.36 | estimate per 1M tokens |
| 1M in + 1M out | $10.07 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 69.1 | 406 | 32th | |
| GPQA Diamond | 59.3 | 410 | 32th | |
| SWE-bench Verified | 51.3 | 411 | 32th | |
| HumanEval | 64.7 | 444 | 26th | |
| MATH-500 | 62.0 | 444 | 26th | |
| AIME 2025 | 55.4 | 413 | 31th | |
| LiveCodeBench | 51.8 | 432 | 28th | |
| IFEval | 71.5 | 435 | 28th | |
| TruthfulQA | 67.9 | 412 | 31th | |
| HellaSwag | 78.7 | 395 | 34th | |
| MMMU | 62.8 | 401 | 33th | |
| Arena Elo | 1311.9 | 404 | 33th |
What GLM-4.6 8B is good for
GLM-4.6 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.69 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.69 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 8,192 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Fusion Mini | OpenRouter | 4096 | $4.89 | 63.3 |
| DeepSeek-V3.2 7B | DeepSeek | 4096 | $1.75 | 63.2 |
| Firefunction Mini | Fireworks AI | 32768 | $4.63 | 63.2 |
| GLM-4.6 8B | Zhipu AI | 8192 | $1.69 | 63.1 |
| SmolLM3 | Hugging Face | 8192 | $1.71 | 63.1 |
| DeepSeek-R1 7B | DeepSeek | 32768 | $1.79 | 63.0 |
FAQ
How much does GLM-4.6 8B cost?
GLM-4.6 8B is listed at $1.69 per million input tokens and $8.38 per million output tokens. Cached input is $0.23 per million tokens. A blended 3:1 input-to-output mix is about $3.36 per million tokens.
What is the context window of GLM-4.6 8B?
GLM-4.6 8B has a context window of 8,192 tokens and can emit up to 4,096 output tokens per request in this index.
Is GLM-4.6 8B open weights?
Yes. GLM-4.6 8B is listed as an open-weight model under a open weights licence.
How does GLM-4.6 8B score on benchmarks?
GLM-4.6 8B averages 63.1 across the scored benchmarks in this index, ranking #418 of 600 models. Its strongest relative result is Arena Elo at 1311.9.
What is GLM-4.6 8B best for?
GLM-4.6 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.69 per million input tokens it can handle a large share of production traffic.