glm-4p5
fireworks_ai · chat model
glm-4p5 is listed here as a chat model from fireworks_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.5500 / 1M tokens
Output
$2.1900 / 1M tokens
Cached input
N/A
Context
96.0K
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 | $0.5500 / 1M tokens |
| Output | $2.1900 / 1M tokens |
| Embedding | $0.5500 / 1M tokens |
Token limits
Context window
96.0K
Max input tokens
128.0K
Max output tokens
96.0K
Max tokens
96.0K
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 |
|---|---|---|---|---|---|
| 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 |
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-4p5 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 96.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4p6 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 92% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 91% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 91% |
| deepseek-v3p2 fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 163.8K | Same provider Overall 91% |
| deepseek.v3-v1:0 bedrock_converse | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 81.9K | Text covered Overall 89% |
| glm-4p5-air fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 96.0K | Same provider Overall 88% |
| magistral-small-2506 Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 40.0K | Text covered Overall 87% |
| magistral-small-latest Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 40.0K | Text covered Overall 87% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Same provider Overall 82% |
| gpt-oss-120b fireworks_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 131.1K | Same provider Overall 81% |
| gpt-oss-20b fireworks_ai | In $0.0500 / 1M tokens Out $0.2000 / 1M tokens | text
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| deepseek-r1 OpenRouter | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
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| DeepSeek-R1-0528-tput Together AI | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
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| deepseek-r1-basic fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 69% |
| deepseek-r1 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 68% |
| deepseek-r1 DeepSeek | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: unknown | Function callingTool choiceReasoning | 8.2K | Partial I/O overlap Overall 36% Missing text |
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