MiniMax-01
minimax/01Por MiniMax · família: minimax · lançado 2025-01-15
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding73
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability3/10
Agents68
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output47
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume17/20
Cost efficiency60
- Headline price (log-scaled)60/95
- Has prompt-cache pricing0/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Vision93
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability3/10
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $1.26 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $2.52 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.84 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $2.24 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $2.35 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de nano-gpt · minimax/minimax-01
Disponível em 3 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| OpenRouter openrouter | minimax/minimax-01 | $0.200 | $1.10 | 1M | 2025-01-15 |
| NanoGPT nano-gpt | minimax/minimax-01 | $0.139 | $1.12 | 1.00M | 2025-01-15 |
| Kilo Gateway kilo | minimax/minimax-01 | $0.200 | $1.10 | 1.00M | 2025-01-15 |
Inconsistências de dados entre provedores
- context_window varies: 1000000, 1000192
- modalities varies across offerings
Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.
Frequently asked questions
How much does MiniMax-01 cost?
MiniMax-01 costs $0.139 per 1M input tokens and $1.12 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of MiniMax-01?
MiniMax-01 has a context window of 1M tokens, with a max output of 1M tokens per reply. This is the total combined size of prompt + completion.
Does MiniMax-01 support tool calling?
Yes. MiniMax-01 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does MiniMax-01 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for MiniMax-01 in our data source. Verify with MiniMax's official documentation before relying on it in production.
Can MiniMax-01 accept image input?
Yes. MiniMax-01 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check MiniMax's docs for the exact rule.
Is MiniMax-01 open-weight?
Yes. MiniMax-01's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to MiniMax-01?
If MiniMax-01 doesn't fit, consider MiniMax-M2.5, MiniMax-M2.1, MiniMax-M2.7. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
Última atualização:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.