MiniMax-Text Base: pricing, context window and benchmarks
MiniMax-Text Base is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $3.66 per million input tokens and $19.71 per million output tokens, and averages 74.9 across the index's benchmark suite.
Pricing
MiniMax-Text Base costs $3.66 per million input tokens and $19.71 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.67 per million tokens. Cached input is listed at $0.32 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.66 | per 1M tokens |
| Output | $19.71 | per 1M tokens |
| Cached input | $0.32 | per 1M tokens |
| Blended 3:1 | $7.67 | estimate per 1M tokens |
| 1M in + 1M out | $23.37 | 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 | 77.1 | 273 | 55th | |
| GPQA Diamond | 68.4 | 307 | 49th | |
| SWE-bench Verified | 62.2 | 276 | 54th | |
| HumanEval | 79.9 | 236 | 61th | |
| MATH-500 | 79.6 | 219 | 64th | |
| AIME 2025 | 73.6 | 195 | 68th | |
| LiveCodeBench | 68.0 | 226 | 62th | |
| IFEval | 82.8 | 250 | 58th | |
| TruthfulQA | 75.7 | 316 | 47th | |
| HellaSwag | 86.2 | 209 | 65th | |
| MMMU | 70.1 | 299 | 50th | |
| Arena Elo | 1373.6 | 304 | 49th |
What MiniMax-Text Base is good for
MiniMax-Text Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.66 per million input tokens (hosted list price) and a 128,000-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- Input price of $3.66 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
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 |
|---|---|---|---|---|
| Llama 3 DeepInfra Chat | DeepInfra | 200000 | $3.74 | 75.0 |
| Nemotron 4 Chat | NVIDIA | 65536 | $3.99 | 75.0 |
| GLM-4.5 Base | Zhipu AI | 32768 | $3.99 | 74.9 |
| Llama 3 Baseten | Baseten | 128000 | $3.62 | 74.9 |
| Llama 3 Modal | Modal | 32768 | $3.82 | 74.9 |
| MiniMax-Text Base | MiniMax | 128000 | $3.66 | 74.9 |
FAQ
How much does MiniMax-Text Base cost?
MiniMax-Text Base is listed at $3.66 per million input tokens and $19.71 per million output tokens. Cached input is $0.32 per million tokens. A blended 3:1 input-to-output mix is about $7.67 per million tokens.
What is the context window of MiniMax-Text Base?
MiniMax-Text Base has a context window of 128,000 tokens and can emit up to 16,384 output tokens per request in this index.
Is MiniMax-Text Base open weights?
Yes. MiniMax-Text Base is listed as an open-weight model under a open weights licence.
How does MiniMax-Text Base score on benchmarks?
MiniMax-Text Base averages 74.9 across the scored benchmarks in this index, ranking #258 of 600 models. Its strongest relative result is Arena Elo at 1373.6.
What is MiniMax-Text Base best for?
MiniMax-Text Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.66 per million input tokens (hosted list price) and a 128,000-token context window, it is a practical option for teams that want more control than a closed API allows.