MiniMax-Text Instruct: pricing, context window and benchmarks
MiniMax-Text Instruct is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $4.59 per million input tokens and $21.17 per million output tokens, and averages 77.7 across the index's benchmark suite.
Pricing
MiniMax-Text Instruct costs $4.59 per million input tokens and $21.17 per million output tokens. A blended 3:1 input-to-output mix works out to about $8.73 per million tokens. Cached input is listed at $0.41 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.59 | per 1M tokens |
| Output | $21.17 | per 1M tokens |
| Cached input | $0.41 | per 1M tokens |
| Blended 3:1 | $8.73 | estimate per 1M tokens |
| 1M in + 1M out | $25.76 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.7 | 222 | 63th | |
| GPQA Diamond | 72.8 | 202 | 66th | |
| SWE-bench Verified | 69.3 | 125 | 79th | |
| HumanEval | 81.5 | 198 | 67th | |
| MATH-500 | 80.7 | 195 | 68th | |
| AIME 2025 | 78.5 | 107 | 82th | |
| LiveCodeBench | 68.1 | 225 | 63th | |
| IFEval | 87.6 | 112 | 81th | |
| TruthfulQA | 78.5 | 238 | 60th | |
| HellaSwag | 85.9 | 220 | 63th | |
| MMMU | 73.0 | 222 | 63th | |
| Arena Elo | 1429.1 | 123 | 80th |
What MiniMax-Text Instruct is good for
MiniMax-Text Instruct is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.59 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| MiniMax-Text Chat | MiniMax | 128000 | $4.26 | 77.8 |
| Sonar Max | Perplexity | 32768 | $11.60 | 77.8 |
| DeepSeek-Coder Instruct | DeepSeek | 32768 | $4.34 | 77.7 |
| GPT-5.1 Mini | OpenAI | 128000 | $12.19 | 77.7 |
| MiniMax-Text Instruct | MiniMax | 128000 | $4.59 | 77.7 |
| o4 Mini | OpenAI | 200000 | $11.92 | 77.7 |
FAQ
How much does MiniMax-Text Instruct cost?
MiniMax-Text Instruct is listed at $4.59 per million input tokens and $21.17 per million output tokens. Cached input is $0.41 per million tokens. A blended 3:1 input-to-output mix is about $8.73 per million tokens.
What is the context window of MiniMax-Text Instruct?
MiniMax-Text Instruct has a context window of 128,000 tokens and can emit up to 4,096 output tokens per request in this index.
Is MiniMax-Text Instruct open weights?
Yes. MiniMax-Text Instruct is listed as an open-weight model under a open weights licence.
How does MiniMax-Text Instruct score on benchmarks?
MiniMax-Text Instruct averages 77.7 across the scored benchmarks in this index, ranking #181 of 600 models. Its strongest relative result is Arena Elo at 1429.1.
What is MiniMax-Text Instruct best for?
MiniMax-Text Instruct is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.59 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.