minimax-m2-maas
vertex_ai-minimax_models · chat model
minimax-m2-maas is listed here as a chat model from vertex_ai-minimax_models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.3000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
196.6K
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 | $0.3000 / 1M tokens |
| Output | $1.2000 / 1M tokens |
| Embedding | $0.3000 / 1M tokens |
Token limits
Context window
196.6K
Max input tokens
196.6K
Max output tokens
196.6K
Max tokens
196.6K
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 |
|---|---|---|---|---|---|
| SWE-bench Verified | 69.4 | score | Base model: MiniMax-M2 (MiniMax-M2) | 2026-05-31 | Link |
| Multi-SWE-bench | 36.2 | score | Base model: MiniMax-M2 (MiniMax-M2) | 2026-05-31 | Link |
| SWE-bench Multilingual | 56.5 | score | Base model: MiniMax-M2 (MiniMax-M2) | 2026-05-31 | Link |
| Terminal-Bench | 46.3 | score | Base model: MiniMax-M2 (MiniMax-M2) | 2026-05-31 | Link |
| ArtifactsBench | 66.8 | score | Base model: MiniMax-M2 (MiniMax-M2) | 2026-05-31 | Link |
| BrowseComp | 44 | score | Base model: MiniMax-M2 (MiniMax-M2) | 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 |
|---|---|---|---|---|---|
| minimax-m2-maas vertex_ai-minimax_models | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 196.6K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen3-Coder-480B-A35B-Instruct-Turbo deepinfra | In $0.2900 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Partial I/O overlap Overall 56% |
| DeepSeek-V3.1-Terminus deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 55% |
| DeepSeek-V3-0324 deepinfra | In $0.2500 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 53% |
| DeepSeek-V3 deepinfra | In $0.3800 / 1M tokens Out $0.8900 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 53% |
| codestral-2@001 vertex_ai-mistral_models | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 52% |
| codestral-2 vertex_ai-mistral_models | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 52% |
| llama-4-maverick-17b-128e-instruct-maas vertex_ai-llama_models | In $0.3500 / 1M tokens Out $1.1500 / 1M tokens |
Output: code, text | Function callingTool choice | 1.0M | Partial I/O overlap Overall 46% |
| llama-4-maverick-17b-16e-instruct-maas vertex_ai-llama_models | In $0.3500 / 1M tokens Out $1.1500 / 1M tokens |
Output: code, text | Function callingTool choice | 1.0M | Partial I/O overlap Overall 46% |
| codestral vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Partial I/O overlap Overall 43% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 40% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 40% |
| minimax.minimax-m2.1 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% |
| minimax.minimax-m2.5 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% |
| minimax.minimax-m2.1 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% |
| minimax.minimax-m2.1 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% |
| minimax.minimax-m2.5 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Partial I/O overlap Overall 35% |
| minimax.minimax-m2.5 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 33% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 30% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
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