Claude Opus 4.5 vs Llama 3.1 8B
At a Glance
| Compare | Claude Opus 4.5Anthropic |  Llama 3.1 8BMeta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #27 of 4655.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.3 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #40 of 44$0.380 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4 | 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 | 200K | 131K |
| Model facts checked | Sep 3, 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 4.5 | Llama-3.1-8B |
|---|---|---|
| Developer | Anthropic | Meta |
| Family | Claude 4 | Llama 3 1 8b |
| Model | Claude Opus 4.5 | Llama-3.1-8B |
| Version | Claude Opus 4.5 | Llama-3.1-8B |
| Lifecycle | active | active |
| Released | 2025-11-24 | 2024-07-23 |
| Knowledge cutoff | 2025-05-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 200K | 131K |
| Total parameters | Unknown | 8B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | generation |
Claude Opus 4.5 Capabilities
Llama 3.1 8B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.5 vs Llama 3.1 8B FAQs
Is Claude Opus 4.5 or Llama 3.1 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.5 and Llama 3.1 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.5 or Llama 3.1 8B?+
Only Claude Opus 4.5 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.5 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.5 or Llama 3.1 8B?+
Claude Opus 4.5 has the larger sourced context window. Claude Opus 4.5 supports 200K and Llama 3.1 8B supports 131K.
Which performs better in benchmarks, Claude Opus 4.5 or Llama 3.1 8B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.5 or Llama 3.1 8B be self-hosted?+
Llama 3.1 8B is the only model in this pair currently marked as self-hostable. Claude Opus 4.5 is not marked open weight; Llama 3.1 8B is open weight.
Can Claude Opus 4.5 and Llama 3.1 8B understand images?+
Claude Opus 4.5 is documented with image input; Llama 3.1 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.5 or Llama 3.1 8B?+
Neither has a larger sourced maximum output. Claude Opus 4.5 is 64K and Llama 3.1 8B is —.
Do Claude Opus 4.5 and Llama 3.1 8B support reasoning and tool use?+
Claude Opus 4.5: reasoning, tool calling, and image input. Llama 3.1 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.5 or Llama 3.1 8B?+
Claude Opus 4.5 has 1 sourced provider route; Llama 3.1 8B has 1, a tie.
Which offers better value, Claude Opus 4.5 or Llama 3.1 8B?+
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.