Claude Sonnet 4.5 vs Llama 3.3 70B Instruct
At a Glance
| Compare | Claude Sonnet 4.5Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $3.00Anthropic ↗ · Sep 3, 2026 | $0.10Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $15.00Anthropic ↗ · Sep 3, 2026 | $0.32Openrouter ↗ · Sep 23, 2026 |
| 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
| Benchmark | Claude Sonnet 4.5 | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 24.9078% of row best · percent · Claude-Sonnet-4-5-20250929 (Prompt) | 31.90100% of row best · percent · Llama-3.3-70B-Instruct (FC) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,433.94100% of row best · rating · claude-sonnet-4-5-20250929-high-32k; 95% CI [1431.13982742, 1436.74901697]; votes 80980; rank 81 | 1,273.9889% 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 | 1 benchmark winNo 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 Sonnet 4.5 | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Anthropic | Meta |
| Family | Claude 4 | Llama 3 3 70b Instruct |
| Model | Claude Sonnet 4.5 | Llama-3.3-70B-Instruct |
| Version | Claude Sonnet 4.5 | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2025-09-29 | 2024-12-06 |
| Knowledge cutoff | 2025-01-01 | 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) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
Claude Sonnet 4.5 Capabilities
Llama 3.3 70B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Sonnet 4.5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Sonnet 4.5Anthropic | family variantsimage, text |
Claude Sonnet 4.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Sonnet 4.5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Sonnet 4.5Anthropic | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Sonnet 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Sonnet 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.5 vs Llama 3.3 70B Instruct FAQs
Is Claude Sonnet 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 Sonnet 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 Sonnet 4.5 or Llama 3.3 70B Instruct?+
Claude Sonnet 4.5 is $3.00 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. Claude Sonnet 4.5 is $15.00 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 Sonnet 4.5 or Llama 3.3 70B Instruct?+
Claude Sonnet 4.5 has the larger sourced context window. Claude Sonnet 4.5 supports 200K and Llama 3.3 70B Instruct supports 131K.
Which performs better in benchmarks, Claude Sonnet 4.5 or Llama 3.3 70B Instruct?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Claude Sonnet 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 Sonnet 4.5 is not marked open weight; Llama 3.3 70B Instruct is open weight.
Can Claude Sonnet 4.5 and Llama 3.3 70B Instruct understand images?+
Claude Sonnet 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 Sonnet 4.5 or Llama 3.3 70B Instruct?+
Neither has a larger sourced maximum output. Claude Sonnet 4.5 is 64K and Llama 3.3 70B Instruct is —.
Do Claude Sonnet 4.5 and Llama 3.3 70B Instruct support reasoning and tool use?+
Claude Sonnet 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 Sonnet 4.5 or Llama 3.3 70B Instruct?+
Claude Sonnet 4.5 has 1 sourced provider route; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Claude Sonnet 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.