glm-4.5-x
zai · chat model
glm-4.5-x is listed here as a chat model from zai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.2000 / 1M tokens
Output
$8.9000 / 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 | $2.2000 / 1M tokens |
| Output | $8.9000 / 1M tokens |
| Embedding | $2.2000 / 1M tokens |
Token limits
Max input tokens
128.0K
Max output tokens
32.0K
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 |
|---|---|---|---|---|---|
| TAU-Bench | 70.1% | Pass@1 | Base model: GLM-4.5 (GLM-4.5) | 2026-05-31 | Link |
| AIME 2024 | 91.0% | Pass@1 | Base model: GLM-4.5 (GLM-4.5) | 2026-05-31 | Link |
| SWE-bench Verified | 64.2% | Resolved | Base model: GLM-4.5 (GLM-4.5) | 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 |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4.5-x zai | In $2.2000 / 1M tokens Out $8.9000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Current model Reference row |
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|---|---|---|---|---|---|
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Output: unknown | Function callingTool choice | 8.0K | Partial I/O overlap Overall 43% |
| command-r-plus cohere_chat | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
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Output: unknown | Function callingTool choice | N/A | Same provider Overall 35% |
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Output: unknown | Function callingTool choice | N/A | Same provider Overall 30% |
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Output: text | Function callingTool choice | 100.0K | Partial I/O overlap Overall 28% |
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Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 27% |
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Output: text | Function callingTool choice | 32.8K | Partial I/O overlap Overall 27% |
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Output: unknown | Function callingTool choice | N/A | Same provider Overall 26% |
| glm-4.5-flash zai | In N/A Out N/A |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 25% |
| glm-5-code zai | In $1.2000 / 1M tokens Out $5.0000 / 1M tokens |
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| gemini-3.5-flash Vertex AI | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | pdfurl
Output: text | Function callingTool choice | 65.5K | Partial I/O overlap Overall 21% |
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Output: text | Function callingTool choice | 65.5K | Partial I/O overlap Overall 21% |
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