MiniMax M2.7 vs Ministral 8B Instruct 2410
At a Glance
| Compare |  MiniMax M2.7MiniMax |  Ministral 8B Instruct 2410Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Deepinfra ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.00Deepinfra ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 205K | 33K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | MiniMax-M2.7 | Ministral-8B-Instruct-2410 |
|---|---|---|
| Developer | MiniMax | Mistral AI |
| Family | Minimax M2 7 | Ministral 8b Instruct 2410 |
| Model | MiniMax-M2.7 | Ministral-8B-Instruct-2410 |
| Version | MiniMax-M2.7 | Ministral-8B-Instruct-2410 |
| Lifecycle | active | active |
| Released | 2026-03-18 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 205K | 33K |
| Total parameters | 228.7B | 8B |
| Active parameters | Unknown | Unknown |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, generation, tools |
MiniMax M2.7 Capabilities
Ministral 8B Instruct 2410 Capabilities
Related Comparisons
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|---|---|---|---|
MiniMax-M2.7MiniMax | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | Claude Fable 5.1Anthropic | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | Grok 4.6xAI | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
MiniMax-M2.7MiniMax | vs |  GLM-5.3Z.ai | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs |  Hy4 previewTencent | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
MiniMax-M2.7MiniMax | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax M2.7 vs Ministral 8B Instruct 2410 FAQs
Is MiniMax M2.7 or Ministral 8B Instruct 2410 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.7 and Ministral 8B Instruct 2410, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M2.7 or Ministral 8B Instruct 2410?+
Only MiniMax M2.7 has a directly sourced input price: $0.25 per million tokens. Only MiniMax M2.7 has a directly sourced output price: $1.00 per million tokens.
Which has a larger context window, MiniMax M2.7 or Ministral 8B Instruct 2410?+
MiniMax M2.7 has the larger sourced context window. MiniMax M2.7 supports 205K and Ministral 8B Instruct 2410 supports 33K.
Which performs better in benchmarks, MiniMax M2.7 or Ministral 8B Instruct 2410?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax M2.7 or Ministral 8B Instruct 2410 be self-hosted?+
Both models have the same recorded self-hosting status: supported. MiniMax M2.7 is open weight; Ministral 8B Instruct 2410 is open weight.
Can MiniMax M2.7 and Ministral 8B Instruct 2410 understand images?+
MiniMax M2.7 is not documented with image input; Ministral 8B Instruct 2410 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax M2.7 or Ministral 8B Instruct 2410?+
Neither has a larger sourced maximum output. MiniMax M2.7 is — and Ministral 8B Instruct 2410 is —.
Do MiniMax M2.7 and Ministral 8B Instruct 2410 support reasoning and tool use?+
MiniMax M2.7: tool calling. Ministral 8B Instruct 2410: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax M2.7 or Ministral 8B Instruct 2410?+
MiniMax M2.7 has 5 sourced provider routes; Ministral 8B Instruct 2410 has 0, so MiniMax M2.7 has broader tracked availability.
Which offers better value, MiniMax M2.7 or Ministral 8B Instruct 2410?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.