LLM Pricing
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minimax-m2p1

fireworks_ai · chat model

minimax-m2p1 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
$0.3000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
$0.0300 / 1M tokens
Context
204.8K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
Cached input
$0.0300 / 1M tokens
Embedding
$0.3000 / 1M tokens

Token limits

Context window
204.8K
Max input tokens
204.8K
Max output tokens
204.8K
Max tokens
204.8K

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

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
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
204.8K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
204.8K
Same provider
Overall 100%
codestral-2508
Mistral
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Text covered
Overall 94%
devstral-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Text covered
Overall 90%
devstral-medium-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Text covered
Overall 90%
devstral-2512
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Text covered
Overall 90%
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
Text covered
Overall 88%
devstral-medium-2507
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Text covered
Overall 88%
glm-4p6
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
202.8K
Same provider
Overall 85%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
202.8K
Same provider
Overall 84%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
202.8K
Same provider
Overall 84%
deepseek-v3p2
fireworks_ai
In $0.5600 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
163.8K
Same provider
Overall 83%
mixtral-8x22b-instruct-hf
fireworks_ai
In $1.2000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
65.5K
Same provider
Overall 83%
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 77%
firefunction-v2
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
8.2K
Same provider
Overall 77%
kimi-k2-instruct
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
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Overall 76%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 73%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 73%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 73%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 73%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 73%
llama-v3p1-405b-instruct
fireworks_ai
In $3.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Same provider
Overall 72%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 71%