MiniMax-Text 8B: pricing, context window and benchmarks
MiniMax-Text 8B is a small open-weight model from MiniMax. It offers a 4,096-token context window, costs $1.22 per million input tokens and $5.08 per million output tokens, and averages 59.5 across the index's benchmark suite.
Pricing
MiniMax-Text 8B costs $1.22 per million input tokens and $5.08 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.19 per million tokens. Cached input is listed at $0.12 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.22 | per 1M tokens |
| Output | $5.08 | per 1M tokens |
| Cached input | $0.12 | per 1M tokens |
| Blended 3:1 | $2.19 | estimate per 1M tokens |
| 1M in + 1M out | $6.30 | 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 | 63.9 | 473 | 21th | |
| GPQA Diamond | 56.7 | 444 | 26th | |
| SWE-bench Verified | 46.1 | 452 | 25th | |
| HumanEval | 61.0 | 491 | 18th | |
| MATH-500 | 58.0 | 491 | 18th | |
| AIME 2025 | 50.4 | 457 | 24th | |
| LiveCodeBench | 48.7 | 459 | 24th | |
| IFEval | 69.8 | 465 | 23th | |
| TruthfulQA | 66.7 | 434 | 28th | |
| HellaSwag | 74.6 | 448 | 25th | |
| MMMU | 58.4 | 451 | 25th | |
| Arena Elo | 1281.0 | 442 | 26th |
What MiniMax-Text 8B is good for
MiniMax-Text 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.22 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.22 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 4,096 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| Llama 3.3 Groq 8B | Groq | 16384 | $1.17 | 59.5 |
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| QwQ 8B | Alibaba Cloud | 16384 | $1.37 | 59.5 |
| Zephyr Base | Hugging Face | 4096 | $1.26 | 59.5 |
FAQ
How much does MiniMax-Text 8B cost?
MiniMax-Text 8B is listed at $1.22 per million input tokens and $5.08 per million output tokens. Cached input is $0.12 per million tokens. A blended 3:1 input-to-output mix is about $2.19 per million tokens.
What is the context window of MiniMax-Text 8B?
MiniMax-Text 8B has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is MiniMax-Text 8B open weights?
Yes. MiniMax-Text 8B is listed as an open-weight model under a open weights licence.
How does MiniMax-Text 8B score on benchmarks?
MiniMax-Text 8B averages 59.5 across the scored benchmarks in this index, ranking #459 of 600 models. Its strongest relative result is Arena Elo at 1281.0.
What is MiniMax-Text 8B best for?
MiniMax-Text 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.22 per million input tokens it can handle a large share of production traffic.