Claude Haiku 4.5 vs Llama 3.1 8B Instruct
At a Glance
| Compare | Claude Haiku 4.5Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.00Anthropic ↗ · Sep 3, 2026 | $0.050Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.080Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 200K | 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 | Claude Haiku 4.5 | Llama-3.1-8B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,396.64100% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1394.12644647, 1399.14715328]; votes 129278; rank 147 | 1,186.4885% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.15100% of row best · points · Claude Haiku 4.5 · 10,996 output tokens / case | 47.9264% of row best · points · Llama 3.1 8B · 1,165 output tokens / case |
| 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 | Claude Haiku 4.5 | Llama-3.1-8B-Instruct |
|---|---|---|
| Developer | Anthropic | Meta |
| Family | Claude 4 5 | Llama 3 1 8b Instruct |
| Model | Claude Haiku 4.5 | Llama-3.1-8B-Instruct |
| Version | Claude Haiku 4.5 | Llama-3.1-8B-Instruct |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2024-07-23 |
| Knowledge cutoff | Unknown | 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), Deepinfra (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Claude Haiku 4.5 Capabilities
Llama 3.1 8B Instruct Capabilities
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 MiniMax-M3MiniMax | vs | Claude Haiku 4.5Anthropic | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Llama 3.1 8B Instruct FAQs
Is Claude Haiku 4.5 or Llama 3.1 8B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 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, Claude Haiku 4.5 or Llama 3.1 8B Instruct?+
Claude Haiku 4.5 is $1.00 and Llama 3.1 8B Instruct is $0.050 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Claude Haiku 4.5 is $5.00 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, Claude Haiku 4.5 or Llama 3.1 8B Instruct?+
Claude Haiku 4.5 has the larger sourced context window. Claude Haiku 4.5 supports 200K and Llama 3.1 8B Instruct supports 131K.
Which performs better in benchmarks, Claude Haiku 4.5 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 Claude Haiku 4.5 or Llama 3.1 8B Instruct be self-hosted?+
Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; Llama 3.1 8B Instruct is open weight.
Can Claude Haiku 4.5 and Llama 3.1 8B Instruct understand images?+
Claude Haiku 4.5 is 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, Claude Haiku 4.5 or Llama 3.1 8B Instruct?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Llama 3.1 8B Instruct is —.
Do Claude Haiku 4.5 and Llama 3.1 8B Instruct support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Llama 3.1 8B Instruct?+
Claude Haiku 4.5 has 2 sourced provider routes; Llama 3.1 8B Instruct has 2, a tie.
Which offers better value, Claude Haiku 4.5 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.