LLM Pricing
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MiniMax-M2.5

wandb · chat model

MiniMax-M2.5 is listed here as a chat model from wandb. 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
197.0K
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
Embedding
$0.3000 / 1M tokens

Token limits

Context window
197.0K
Max input tokens
197.0K
Max output tokens
197.0K
Max tokens
197.0K

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
SWE-bench Verified 75.80% % resolved Base model: MiniMax M2.5 (MiniMax M2.5 (high reasoning)) 2026-05-31 Link
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-M2.5
wandb
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
197.0K
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 callingResponse schema
204.8K
Partial I/O overlap
Overall 47%
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingResponse schema
204.8K
Partial I/O overlap
Overall 47%
glm-4p6
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
202.8K
Partial I/O overlap
Overall 44%
deepseek-v3p2
fireworks_ai
In $0.5600 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
163.8K
Partial I/O overlap
Overall 44%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
202.8K
Partial I/O overlap
Overall 44%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
202.8K
Partial I/O overlap
Overall 44%
glm-4p5-air
fireworks_ai
In $0.2200 / 1M tokens
Out $0.8800 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
96.0K
Partial I/O overlap
Overall 41%
Kimi-K2.5
wandb
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
262.1K
Same provider
Overall 39%
glm-4p5
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
96.0K
Partial I/O overlap
Overall 37%
magistral-small-2506
Mistral
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
40.0K
Partial I/O overlap
Overall 36%
magistral-small-latest
Mistral
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingReasoningResponse schema
40.0K
Partial I/O overlap
Overall 36%
deepseek-r1-8b
llamagate
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
16.4K
Partial I/O overlap
Overall 31%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingReasoning
8.2K
Partial I/O overlap
Overall 31%
deepseek-r1-7b-qwen
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
16.4K
Partial I/O overlap
Overall 30%
openthinker-7b
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingReasoningResponse schema
8.2K
Partial I/O overlap
Overall 29%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Partial I/O overlap
Overall 26%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Partial I/O overlap
Overall 26%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Partial I/O overlap
Overall 26%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Partial I/O overlap
Overall 26%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Partial I/O overlap
Overall 26%
Kimi-K2-Instruct
wandb
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 20%
DeepSeek-V3-0324
wandb
In $114000.0000 / 1M tokens
Out $275000.0000 / 1M tokens
Output: unknown
Low overlap
161.0K
Same provider
Overall 12%
DeepSeek-R1-0528
wandb
In $135000.0000 / 1M tokens
Out $540000.0000 / 1M tokens
Output: unknown
Low overlap
161.0K
Same provider
Overall 12%
Qwen3-235B-A22B-Instruct-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 11%
Qwen3-235B-A22B-Thinking-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 11%