MiniMax-Text Chat: pricing, context window and benchmarks
MiniMax-Text Chat is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $4.26 per million input tokens and $19.60 per million output tokens, and averages 77.8 across the index's benchmark suite.
Pricing
MiniMax-Text Chat costs $4.26 per million input tokens and $19.60 per million output tokens. A blended 3:1 input-to-output mix works out to about $8.10 per million tokens. Cached input is listed at $0.57 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.26 | per 1M tokens |
| Output | $19.60 | per 1M tokens |
| Cached input | $0.57 | per 1M tokens |
| Blended 3:1 | $8.10 | estimate per 1M tokens |
| 1M in + 1M out | $23.86 | 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 | 81.5 | 135 | 78th | |
| GPQA Diamond | 73.7 | 179 | 70th | |
| SWE-bench Verified | 65.9 | 197 | 67th | |
| HumanEval | 83.9 | 135 | 78th | |
| MATH-500 | 78.2 | 253 | 58th | |
| AIME 2025 | 75.0 | 153 | 75th | |
| LiveCodeBench | 73.2 | 123 | 80th | |
| IFEval | 84.0 | 213 | 65th | |
| TruthfulQA | 77.4 | 271 | 55th | |
| HellaSwag | 86.4 | 199 | 67th | |
| MMMU | 76.4 | 130 | 78th | |
| Arena Elo | 1396.3 | 222 | 63th |
What MiniMax-Text Chat is good for
MiniMax-Text Chat 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 $4.26 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 |
|---|---|---|---|---|
| ERNIE 4.0 Reasoning | Baidu | 65536 | $12.20 | 77.8 |
| 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 |
| o4 Mini | OpenAI | 200000 | $11.92 | 77.7 |
FAQ
How much does MiniMax-Text Chat cost?
MiniMax-Text Chat is listed at $4.26 per million input tokens and $19.60 per million output tokens. Cached input is $0.57 per million tokens. A blended 3:1 input-to-output mix is about $8.10 per million tokens.
What is the context window of MiniMax-Text Chat?
MiniMax-Text Chat has a context window of 128,000 tokens and can emit up to 32,768 output tokens per request in this index.
Is MiniMax-Text Chat open weights?
Yes. MiniMax-Text Chat is listed as an open-weight model under a open weights licence.
How does MiniMax-Text Chat score on benchmarks?
MiniMax-Text Chat averages 77.8 across the scored benchmarks in this index, ranking #177 of 600 models. Its strongest relative result is Arena Elo at 1396.3.
What is MiniMax-Text Chat best for?
MiniMax-Text Chat 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 $4.26 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.