GLM-4.7-FP8
gmi · chat model
GLM-4.7-FP8 is listed here as a chat model from gmi. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.4000 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
16.4K
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 | $0.4000 / 1M tokens |
| Output | $2.0000 / 1M tokens |
| Embedding | $0.4000 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
202.8K
Max output tokens
16.4K
Max tokens
16.4K
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 |
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-4.7-FP8 gmi | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | No public capabilities | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| kimi-k2 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 32% |
| sonar-medium-chat perplexity | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 31% |
| glm-4.5v novita | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens | imagetext
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 31% |
| deepseek-v3-turbo novita | In $0.4000 / 1M tokens Out $1.3000 / 1M tokens | text
Output: text | Low overlap | 16.0K | Partial I/O overlap Overall 31% |
| qwen-plus dashscope | In $0.4000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 31% |
| qwen-plus-2025-04-28 dashscope | In $0.4000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 31% |
| Qwen3-VL-235B-A22B-Instruct-FP8 gmi | In $0.3000 / 1M tokens Out $1.4000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 29% |
| MiniMax-M2.1 gmi | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 28% |
| mistral.devstral-2-123b bedrock_converse | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 28% |
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 27% |
| DeepSeek-V3-0324 gmi | In $0.2800 / 1M tokens Out $0.8800 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 26% |
| Kimi-K2-Thinking gmi | In $0.8000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 26% |
| DeepSeek-V3.2 gmi | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 24% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Low overlap | 128.0K | Partial I/O overlap Overall 22% |
| gpt-4o-mini gmi | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 22% |
| devstral-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 21% |
| devstral-medium-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 21% |
| devstral-2512 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 21% |
| 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 15% |
| 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 11% |
| 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 10% |
| 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 9% |
| 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 8% |
| 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% |
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