GigaChat-2-Max
gigachat · chat model
GigaChat-2-Max is listed here as a chat model from gigachat. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
N/A
Output
N/A
Cached input
N/A
Context
8.2K
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 |
|---|
Token limits
Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K
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 | — |
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 |
|---|---|---|---|---|---|
| GigaChat-2-Max gigachat | In N/A Out N/A |
Output: unknown | VisionFunction callingSystem messages | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| GigaChat-2-Pro gigachat | In N/A Out N/A |
Output: unknown | VisionFunction callingSystem messages | 8.2K | Same provider Overall 40% |
| qwen.qwen3-vl-235b-a22b bedrock_converse | In $0.5300 / 1M tokens Out $2.6600 / 1M tokens | imagetext
Output: text | VisionFunction callingSystem messages | 8.2K | Partial I/O overlap Overall 40% |
| GigaChat-2-Lite gigachat | In N/A Out N/A |
Output: unknown | Function callingSystem messages | 8.2K | Same provider Overall 32% |
| google.gemma-3-4b-it bedrock_converse | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: image, text | VisionSystem messages | 8.2K | Partial I/O overlap Overall 32% |
| mistral.ministral-3-3b-instruct bedrock_converse | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | Function callingSystem messages | 8.2K | Partial I/O overlap Overall 32% |
| mistral.ministral-3-8b-instruct bedrock_converse | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | Function callingSystem messages | 8.2K | Partial I/O overlap Overall 32% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Partial I/O overlap Overall 24% |
| moonshotai.kimi-k2.5 Bedrock | In $0.7200 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingSystem messages | 262.1K | Partial I/O overlap Overall 19% |
| moonshotai.kimi-k2.5 Bedrock | In $0.7200 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingSystem messages | 262.1K | Partial I/O overlap Overall 19% |
| moonshotai.kimi-k2.5 Bedrock | In $0.7200 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingSystem messages | 262.1K | Partial I/O overlap Overall 19% |
| moonshotai.kimi-k2.5 Bedrock | In $0.7200 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingSystem messages | 262.1K | Partial I/O overlap Overall 19% |
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | VisionFunction callingSystem messages | 131.1K | Partial I/O overlap Overall 16% |
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function callingSystem messages | 131.1K | Partial I/O overlap Overall 11% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | text
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 7% |
| titan-embed-text-v2 vercel_ai_gateway | In $0.0200 / 1M tokens Out N/A | text
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 0% |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 0% |
No models match this filter.