glm-4.6:exacto
OpenRouter · chat model
glm-4.6:exacto is listed here as a chat model from OpenRouter. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.4500 / 1M tokens
Output
$1.9000 / 1M tokens
Cached input
N/A
Context
131.0K
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 | $0.4500 / 1M tokens |
| Output | $1.9000 / 1M tokens |
| Embedding | $0.4500 / 1M tokens |
Token limits
Context window
131.0K
Max input tokens
202.8K
Max output tokens
131.0K
Max tokens
131.0K
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 |
Docs
| Official docs |
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:exacto OpenRouter | In $0.4500 / 1M tokens Out $1.9000 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 131.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4.6 OpenRouter | In $0.4000 / 1M tokens Out $1.7500 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 131.0K | Same provider Overall 58% |
| deepseek-v3.2 azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Partial I/O overlap Overall 54% |
| deepseek-v3.2-speciale azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Partial I/O overlap Overall 54% |
| glm-5-maas vertex_ai-zai_models | In $1.0000 / 1M tokens Out $3.2000 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 128.0K | Partial I/O overlap Overall 50% |
| glm-4.7-maas vertex_ai-zai_models | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Partial I/O overlap Overall 50% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 48% |
| glm-5 OpenRouter | In $0.8000 / 1M tokens Out $2.5600 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 128.0K | Same provider Overall 47% |
| mimo-v2.5 OpenRouter | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | audioimage
Output: text | Function callingTool choicePrompt cachingReasoning | 131.1K | Same provider Overall 46% |
| deepseek-v3.2-maas vertex_ai-deepseek_models | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 32.8K | Partial I/O overlap Overall 46% |
| deepseek-chat-v3.1 OpenRouter | In $0.2000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Same provider Overall 46% |
| minimax-m2 OpenRouter | In $0.2550 / 1M tokens Out $1.0200 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 204.8K | Same provider Overall 46% |
| deepseek-v3.2 DeepSeek | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 163.8K | Partial I/O overlap Overall 45% |
| deepseek-v3.2 OpenRouter | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Same provider Overall 45% |
| GLM-4.7 Together AI | In $0.4500 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 200.0K | Partial I/O overlap Overall 44% |
| deepseek-r1-0528 OpenRouter | In $0.5000 / 1M tokens Out $2.1500 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 8.2K | Same provider Overall 44% |
| deepseek-r1 DeepSeek | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 8.2K | Partial I/O overlap Overall 43% |
| deepseek-r1 OpenRouter | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 8.2K | Same provider Overall 43% |
| glm-4-7-251222 volcengine | In N/A Out N/A |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 131.1K | Partial I/O overlap Overall 40% |
| glm-4.6 vercel_ai_gateway | In $0.4500 / 1M tokens Out $1.8000 / 1M tokens | text
Output: text | Function callingTool choice | 200.0K | Partial I/O overlap Overall 39% |
| minimax.minimax-m2.5 Bedrock | In $0.4700 / 1M tokens Out $1.8600 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 8.2K | Partial I/O overlap Overall 35% |
| qwen3-coder-480b-a35b-instruct fireworks_ai | In $0.4500 / 1M tokens Out $1.8000 / 1M tokens | text
Output: text | Reasoning | 262.1K | Partial I/O overlap Overall 33% |
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| minimax.minimax-m2.1 Bedrock | In $0.4700 / 1M tokens Out $1.8600 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 30% |
| deepseek-v3-2-251201 volcengine | In N/A Out N/A |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 32.8K | Partial I/O overlap Overall 29% |
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