MiniMax M2.7 vs Llama 3.1 70B Instruct
At a Glance
| Compare |  MiniMax M2.7MiniMax | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Deepinfra ↗ · Sep 3, 2026 | $0.40Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.00Deepinfra ↗ · Sep 3, 2026 | $0.40Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 205K | 131K |
| 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
| Benchmark | MiniMax-M2.7 | Llama-3.1-70B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,404.61100% of row best · rating · minimax-m2.7; 95% CI [1401.03588542, 1408.19095698]; votes 69169; rank 138 | 1,260.8190% of row best · rating · llama-3.1-70b-instruct; 95% CI [1257.09857551, 1264.52491700]; votes 55240; rank 276 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | MiniMax-M2.7 | Llama-3.1-70B-Instruct |
|---|---|---|
| Developer | MiniMax | Meta |
| Family | Minimax M2 7 | Llama 3 1 70b Instruct |
| Model | MiniMax-M2.7 | Llama-3.1-70B-Instruct |
| Version | MiniMax-M2.7 | Llama-3.1-70B-Instruct |
| Lifecycle | active | active |
| Released | 2026-03-18 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 205K | 131K |
| Total parameters | 228.7B | 70.6B |
| Active parameters | Unknown | Unknown |
| License | other | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
MiniMax M2.7 Capabilities
Llama 3.1 70B Instruct Capabilities
Related Comparisons
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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 Llama 3.1 70B Instruct FAQs
Is MiniMax M2.7 or Llama 3.1 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.7 and Llama 3.1 70B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M2.7 or Llama 3.1 70B Instruct?+
MiniMax M2.7 is $0.25 and Llama 3.1 70B Instruct is $0.40 per million tokens, so MiniMax M2.7 is cheaper on this metric. MiniMax M2.7 is $1.00 and Llama 3.1 70B Instruct is $0.40 per million tokens, so Llama 3.1 70B Instruct is cheaper on this metric.
Which has a larger context window, MiniMax M2.7 or Llama 3.1 70B Instruct?+
MiniMax M2.7 has the larger sourced context window. MiniMax M2.7 supports 205K and Llama 3.1 70B Instruct supports 131K.
Which performs better in benchmarks, MiniMax M2.7 or Llama 3.1 70B Instruct?+
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 Llama 3.1 70B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. MiniMax M2.7 is open weight; Llama 3.1 70B Instruct is open weight.
Can MiniMax M2.7 and Llama 3.1 70B Instruct understand images?+
MiniMax M2.7 is not documented with image input; Llama 3.1 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax M2.7 or Llama 3.1 70B Instruct?+
Neither has a larger sourced maximum output. MiniMax M2.7 is — and Llama 3.1 70B Instruct is —.
Do MiniMax M2.7 and Llama 3.1 70B Instruct support reasoning and tool use?+
MiniMax M2.7: tool calling. Llama 3.1 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax M2.7 or Llama 3.1 70B Instruct?+
MiniMax M2.7 has 5 sourced provider routes; Llama 3.1 70B Instruct has 1, so MiniMax M2.7 has broader tracked availability.
Which offers better value, MiniMax M2.7 or Llama 3.1 70B Instruct?+
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.