Claude Opus 4.8 vs Llama 3.1 70B
At a Glance
| Compare | Claude Opus 4.8Anthropic |  Llama 3.1 70BMeta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #18 of 4670.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #42 of 44$0.604 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #35 of 3840.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 131K |
| Model facts checked | Aug 29, 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 | Claude Opus 4.8 | Llama-3.1-70B |
|---|---|---|
| Developer | Anthropic | Meta |
| Family | Claude 4 8 | Llama 3 1 70b |
| Model | Claude Opus 4.8 | Llama-3.1-70B |
| Version | Claude Opus 4.8 | Llama-3.1-70B |
| Lifecycle | active | active |
| Released | 2026-05-28 | 2024-07-23 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 131K |
| Total parameters | Unknown | 70.6B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation |
Claude Opus 4.8 Capabilities
Llama 3.1 70B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 4.8Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 4.8Anthropic | family variantsimage, text |
Claude Opus 4.8Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.8Anthropic | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.8 vs Llama 3.1 70B FAQs
Is Claude Opus 4.8 or Llama 3.1 70B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.8 and Llama 3.1 70B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.8 or Llama 3.1 70B?+
Only Claude Opus 4.8 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.8 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.8 or Llama 3.1 70B?+
Claude Opus 4.8 has the larger sourced context window. Claude Opus 4.8 supports 1,000K and Llama 3.1 70B supports 131K.
Which performs better in benchmarks, Claude Opus 4.8 or Llama 3.1 70B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.8 or Llama 3.1 70B be self-hosted?+
Llama 3.1 70B is the only model in this pair currently marked as self-hostable. Claude Opus 4.8 is not marked open weight; Llama 3.1 70B is open weight.
Can Claude Opus 4.8 and Llama 3.1 70B understand images?+
Claude Opus 4.8 is documented with image input; Llama 3.1 70B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.8 or Llama 3.1 70B?+
Neither has a larger sourced maximum output. Claude Opus 4.8 is 128K and Llama 3.1 70B is —.
Do Claude Opus 4.8 and Llama 3.1 70B support reasoning and tool use?+
Claude Opus 4.8: reasoning, tool calling, and image input. Llama 3.1 70B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.8 or Llama 3.1 70B?+
Claude Opus 4.8 has 2 sourced provider routes; Llama 3.1 70B has 1, so Claude Opus 4.8 has broader tracked availability.
Which offers better value, Claude Opus 4.8 or Llama 3.1 70B?+
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.