LLM Pricing
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minimax-m1-80k

novita · chat model

minimax-m1-80k is listed here as a chat model from novita. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.5500 / 1M tokens
Output
$2.2000 / 1M tokens
Cached input
N/A
Context
40.0K
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 benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. 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
$0.5500 / 1M tokens
Output
$2.2000 / 1M tokens
Embedding
$0.5500 / 1M tokens

Token limits

Context window
40.0K
Max input tokens
1.0M
Max output tokens
40.0K
Max tokens
40.0K

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 —

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-m1-80k
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
40.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
glm-4.5
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Same provider
Overall 90%
qwen3-235b-a22b-thinking-2507
novita
In $0.3000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 90%
deepseek-r1-0528
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 90%
deepseek-r1-turbo
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
16.0K
Same provider
Overall 88%
glm-4.6
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 85%
glm-4.7
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 85%
minimax-m2
novita
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 80%
glm-4p5
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
96.0K
Text covered
Overall 79%
glm-4.5-air
novita
In $0.1300 / 1M tokens
Out $0.8500 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Same provider
Overall 77%
deepseek-v3.2
novita
In $0.2690 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
65.5K
Same provider
Overall 76%
kimi-k2
vercel_ai_gateway
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 76%
glm-4p6
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
202.8K
Text covered
Overall 75%
deepseek-r1-basic
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Low overlap
20.5K
Text covered
Overall 68%
deepseek-r1
DeepSeek
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: unknown
Function callingTool choiceReasoning
8.2K
Partial I/O overlap
Overall 36%
Missing text