Claude Haiku 4.5 vs Llama 3.3 70B 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 | $0.10Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.32Openrouter ↗ · 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-3.3-70B-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 | 1,273.9891% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.49383309, 1277.45726344]; votes 54412; rank 262 |
| 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-3.3-70B-Instruct |
|---|---|---|
| Developer | Anthropic | Meta |
| Family | Claude 4 5 | Llama 3 3 70b Instruct |
| Model | Claude Haiku 4.5 | Llama-3.3-70B-Instruct |
| Version | Claude Haiku 4.5 | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 200K | 131K |
| Total parameters | Unknown | 70.6B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.3 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Claude Haiku 4.5 Capabilities
Llama 3.3 70B Instruct Capabilities
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Claude Haiku 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 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 3.3 70B Instruct FAQs
Is Claude Haiku 4.5 or Llama 3.3 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Llama 3.3 70B 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 3.3 70B Instruct?+
Claude Haiku 4.5 is $1.00 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. Claude Haiku 4.5 is $5.00 and Llama 3.3 70B Instruct is $0.32 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Llama 3.3 70B Instruct?+
Claude Haiku 4.5 has the larger sourced context window. Claude Haiku 4.5 supports 200K and Llama 3.3 70B Instruct supports 131K.
Which performs better in benchmarks, Claude Haiku 4.5 or Llama 3.3 70B 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 3.3 70B Instruct be self-hosted?+
Llama 3.3 70B Instruct is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; Llama 3.3 70B Instruct is open weight.
Can Claude Haiku 4.5 and Llama 3.3 70B Instruct understand images?+
Claude Haiku 4.5 is documented with image input; Llama 3.3 70B 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 3.3 70B Instruct?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Llama 3.3 70B Instruct is —.
Do Claude Haiku 4.5 and Llama 3.3 70B Instruct support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Llama 3.3 70B Instruct?+
Claude Haiku 4.5 has 2 sourced provider routes; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Claude Haiku 4.5 or Llama 3.3 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.