Claude 3.5 Sonnet vs Llama 3.3 70B Instruct
Claude 3.5 Sonnet (2024) and Llama 3.3 70B Instruct (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude 3.5 Sonnet ships a 200K-token context window, while Llama 3.3 70B Instruct ships a 128k-token context window. On pricing, Llama 3.3 70B Instruct costs $0.96/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.3 70B Instruct is ~213% cheaper at $0.96/1M; pay for Claude 3.5 Sonnet only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Sonnet | Llama 3.3 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | general production evaluation |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 200K | 128k |
| Cheapest output | $15/1M tokens | $1.28/1M tokens |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude 3.5 Sonnet has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude 3.5 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.5 Sonnet uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Claude 3.5 Sonnet for Coding, RAG, and Agents.
- Llama 3.3 70B Instruct has the lower cheapest tracked output price at $1.28/1M tokens.
- Local decision data tags Llama 3.3 70B Instruct for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude 3.5 Sonnet
$6,150
Cheapest tracked route/tier: GCP Vertex AI
Llama 3.3 70B Instruct
$1,088
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $5,062. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Llama 3.3 70B Instruct is $13.72/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Claude 3.5 Sonnet is $13.72/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude 3.5 Sonnet adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-20 | 2025-09-01 |
| Context window | 200K | 128k |
| Parameters | 70B | 70B |
| Architecture | decoder only | - |
| License | Unknown | Proprietary |
| Knowledge cutoff | 2024-04 | 2023-12 |
Pricing and availability
| Pricing attribute | Claude 3.5 Sonnet | Llama 3.3 70B Instruct |
|---|---|---|
| Input price | $3/1M tokens | $0.96/1M tokens |
| Output price | $15/1M tokens | $1.28/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Sonnet | Llama 3.3 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Claude 3.5 Sonnet, multimodal input: Claude 3.5 Sonnet, reasoning mode: Claude 3.5 Sonnet, function calling: Claude 3.5 Sonnet, and code execution: Claude 3.5 Sonnet. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude 3.5 Sonnet lists $3/1M input and $15/1M output tokens on the cheapest tracked provider, while Llama 3.3 70B Instruct lists $0.96/1M input and $1.28/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B Instruct lower by about $5.54 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.
Choose Claude 3.5 Sonnet when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama 3.3 70B Instruct when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude 3.5 Sonnet or Llama 3.3 70B Instruct?
Claude 3.5 Sonnet supports 200K tokens, while Llama 3.3 70B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude 3.5 Sonnet or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper on tracked token pricing. Claude 3.5 Sonnet costs $3/1M input and $15/1M output tokens. Llama 3.3 70B Instruct costs $0.96/1M input and $1.28/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Sonnet or Llama 3.3 70B Instruct open source?
Claude 3.5 Sonnet is listed under Unknown. Llama 3.3 70B Instruct is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude 3.5 Sonnet or Llama 3.3 70B Instruct?
Claude 3.5 Sonnet has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude 3.5 Sonnet or Llama 3.3 70B Instruct?
Claude 3.5 Sonnet has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude 3.5 Sonnet and Llama 3.3 70B Instruct?
Claude 3.5 Sonnet is available on GCP Vertex AI, AWS Bedrock, Anthropic, OpenRouter, and Microsoft Foundry. Llama 3.3 70B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.