Claude 3.5 Sonnet v2 vs Llama 3.3 70B
Claude 3.5 Sonnet v2 (2025) and Llama 3.3 70B (2025) are compact production models from Anthropic and AI at Meta. Claude 3.5 Sonnet v2 ships a 200k-token context window, while Llama 3.3 70B ships a 8K-token context window. On pricing, Llama 3.3 70B costs $0.90/1M input tokens versus $6/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.3 70B is ~567% cheaper at $0.90/1M; pay for Claude 3.5 Sonnet v2 only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Sonnet v2 | Llama 3.3 70B |
|---|---|---|
| Best for | provider-routed production | multimodal apps and tool-calling agents |
| Decision fit | RAG, Long context, and Classification | Agents, Vision, and Classification |
| Context window | 200k | 8K |
| Cheapest output | $30/1M tokens | $0.90/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude 3.5 Sonnet v2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude 3.5 Sonnet v2 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.5 Sonnet v2 uniquely exposes Structured outputs in local model data.
- Local decision data tags Claude 3.5 Sonnet v2 for RAG, Long context, and Classification.
- Llama 3.3 70B has the lower cheapest tracked output price at $0.90/1M tokens.
- Llama 3.3 70B uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, 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 v2
$12,300
Cheapest tracked route/tier: AWS Bedrock
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $11,355. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Claude 3.5 Sonnet v2 and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B is $29.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Llama 3.3 70B adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.3 70B and Claude 3.5 Sonnet v2; plan for SDK, billing, or endpoint changes.
- Claude 3.5 Sonnet v2 is $29.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Claude 3.5 Sonnet v2 adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-12-09 |
| Context window | 200k | 8K |
| Parameters | — | 70B |
| Architecture | - | decoder only |
| License | Proprietary | True |
| Knowledge cutoff | 2024-04 | 2024-12 |
Pricing and availability
| Pricing attribute | Claude 3.5 Sonnet v2 | Llama 3.3 70B |
|---|---|---|
| Input price | $6/1M tokens | $0.90/1M tokens |
| Output price | $30/1M tokens | $0.90/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Sonnet v2 | Llama 3.3 70B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | No | 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: Llama 3.3 70B, multimodal input: Llama 3.3 70B, function calling: Llama 3.3 70B, tool use: Llama 3.3 70B, and structured outputs: Claude 3.5 Sonnet v2. Both models share the core language-model surface, 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 v2 lists $6/1M input and $30/1M output tokens on the cheapest tracked provider, while Llama 3.3 70B lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B lower by about $12.30 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose Claude 3.5 Sonnet v2 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Llama 3.3 70B when vision-heavy evaluation 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 v2 or Llama 3.3 70B?
Claude 3.5 Sonnet v2 supports 200k tokens, while Llama 3.3 70B supports 8K 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 v2 or Llama 3.3 70B?
Llama 3.3 70B is cheaper on tracked token pricing. Claude 3.5 Sonnet v2 costs $6/1M input and $30/1M output tokens. Llama 3.3 70B costs $0.90/1M input and $0.90/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Sonnet v2 or Llama 3.3 70B open source?
Claude 3.5 Sonnet v2 is listed under Proprietary. Llama 3.3 70B is listed under True. 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 v2 or Llama 3.3 70B?
Llama 3.3 70B 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 v2 or Llama 3.3 70B?
Llama 3.3 70B 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 v2 and Llama 3.3 70B?
Claude 3.5 Sonnet v2 is available on AWS Bedrock and Anthropic. Llama 3.3 70B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.