GLM-4.6
baseten · chat model
GLM-4.6 is listed here as a chat model from baseten. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.6000 / 1M tokens
Output
$2.2000 / 1M tokens
Cached input
N/A
Context
N/A
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.6000 / 1M tokens |
| Output | $2.2000 / 1M tokens |
| Embedding | $0.6000 / 1M tokens |
Token limits
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | — |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index | 32.5 | index score | Base model: GLM 4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 29.5 | index score | Base model: GLM 4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 41.6 | index score | Base model: GLM 4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| GPQA Diamond | 78.0% | accuracy | Base model: GLM 4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| MMLU | 74.7 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| C-Eval | 77.1 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| GPQA | 34.3 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| GSM8K | 84.0 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| MATH | 30.4 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| HumanEval | 70.1 | score | Base model: GLM (GLM-4-9B) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 32.5 | score | Base model: glm-4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 29.5 | score | Base model: glm-4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 41.6 | score | Base model: glm-4.6 (z-ai/glm-4.6) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| GLM-4.6 baseten | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | No public capabilities | N/A | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 202.8K | Partial I/O overlap Overall 20% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 202.8K | Partial I/O overlap Overall 20% |
| GLM-4.7 baseten | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 20% |
| GLM-4.6 Together AI | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 200.0K | Partial I/O overlap Overall 20% |
| glm-4.5 vercel_ai_gateway | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 20% |
| glm-4.7-maas vertex_ai-zai_models | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Partial I/O overlap Overall 20% |
| Kimi-K2-Thinking baseten | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 19% |
| Kimi-K2-Instruct-0905 baseten | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 19% |
| Kimi-K2.5 baseten | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 17% |
| DeepSeek-V3.1 baseten | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 15% |
| GLM-5 baseten | In $0.9500 / 1M tokens Out $3.1500 / 1M tokens |
Output: unknown | Low overlap | N/A | Same provider Overall 13% |
| ai21.jamba-instruct-v1:0 Bedrock | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 11% |
| ai21.jamba-1-5-large-v1:0 Bedrock | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 6% |
| ai21.jamba-1-5-mini-v1:0 Bedrock | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 5% |
| us.writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | pdftext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 5% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 2% |
| ai21.j2-ultra-v1 Bedrock | In $18.8000 / 1M tokens Out $18.8000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 2% |
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