MiniMax M2.5 vs Llama 3.1 8B Instruct
At a Glance
| Compare |  MiniMax M2.5MiniMax | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.27Openrouter ↗ · Aug 28, 2026 | $0.050Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $1.08Openrouter ↗ · Aug 28, 2026 | $0.080Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 197K | 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-M2.5 | Llama-3.1-8B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,358.90100% of row best · rating · minimax-m2.5; 95% CI [1354.93997261, 1362.86079851]; votes 40843; rank 184 | 1,186.4887% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 |
| 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-M2.5 | Llama-3.1-8B-Instruct |
|---|---|---|
| Developer | MiniMax | Meta |
| Family | Minimax M2 5 | Llama 3 1 8b Instruct |
| Model | MiniMax-M2.5 | Llama-3.1-8B-Instruct |
| Version | MiniMax-M2.5 | Llama-3.1-8B-Instruct |
| Lifecycle | active | active |
| Released | 2026-02-12 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 197K | 131K |
| Total parameters | 228.7B | 8B |
| Active parameters | Unknown | Unknown |
| License | other | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
MiniMax M2.5 Capabilities
Llama 3.1 8B Instruct Capabilities
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MiniMax-M2.5MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
MiniMax-M2.5MiniMax | vs |  GLM-5.3Z.ai | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Hy4 previewTencent | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax M2.5 vs Llama 3.1 8B Instruct FAQs
Is MiniMax M2.5 or Llama 3.1 8B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M2.5 or Llama 3.1 8B Instruct?+
MiniMax M2.5 is $0.27 and Llama 3.1 8B Instruct is $0.050 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. MiniMax M2.5 is $1.08 and Llama 3.1 8B Instruct is $0.080 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, MiniMax M2.5 or Llama 3.1 8B Instruct?+
MiniMax M2.5 has the larger sourced context window. MiniMax M2.5 supports 197K and Llama 3.1 8B Instruct supports 131K.
Which performs better in benchmarks, MiniMax M2.5 or Llama 3.1 8B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax M2.5 or Llama 3.1 8B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. MiniMax M2.5 is open weight; Llama 3.1 8B Instruct is open weight.
Can MiniMax M2.5 and Llama 3.1 8B Instruct understand images?+
MiniMax M2.5 is not documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax M2.5 or Llama 3.1 8B Instruct?+
Neither has a larger sourced maximum output. MiniMax M2.5 is — and Llama 3.1 8B Instruct is —.
Do MiniMax M2.5 and Llama 3.1 8B Instruct support reasoning and tool use?+
MiniMax M2.5: tool calling. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax M2.5 or Llama 3.1 8B Instruct?+
MiniMax M2.5 has 2 sourced provider routes; Llama 3.1 8B Instruct has 2, a tie.
Which offers better value, MiniMax M2.5 or Llama 3.1 8B 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.