Claude 3.5 Sonnet v2 vs Llama 4 Maverick 17B Instruct FP8
Claude 3.5 Sonnet v2 (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are general-purpose language models from Anthropic and AI at Meta. Claude 3.5 Sonnet v2 ships a 200k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 is ~3900% cheaper at $0.15/1M; pay for Claude 3.5 Sonnet v2 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Sonnet v2 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | RAG, Long context, and Vision | Coding, RAG, and Agents |
| Context window | 200k | 1m |
| Cheapest output | $30/1M tokens | $0.60/1M tokens |
| Provider routes | 2 tracked | 10 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Claude 3.5 Sonnet v2 for RAG, Long context, and Vision.
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.
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 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $12,030. 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 4 Maverick 17B Instruct FP8 is $29.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Claude 3.5 Sonnet v2 is $29.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-04-05 |
| Context window | 200k | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | - | mixture of experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2024-04 | 2024-08 |
Pricing and availability
| Pricing attribute | Claude 3.5 Sonnet v2 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $6/1M tokens | $0.15/1M tokens |
| Output price | $30/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Sonnet v2 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| 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 is close: both models cover vision, multimodal input, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Claude 3.5 Sonnet v2 lists $6/1M input and $30/1M output tokens on the cheapest tracked provider, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $12.91 per million blended tokens. Availability is 2 providers versus 10, so concentration risk also matters.
Choose Claude 3.5 Sonnet v2 when vision-heavy evaluation are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Claude 3.5 Sonnet v2 or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while Claude 3.5 Sonnet v2 supports 200k 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 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Claude 3.5 Sonnet v2 costs $6/1M input and $30/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Sonnet v2 or Llama 4 Maverick 17B Instruct FP8 open source?
Claude 3.5 Sonnet v2 is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. 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 4 Maverick 17B Instruct FP8?
Both Claude 3.5 Sonnet v2 and Llama 4 Maverick 17B Instruct FP8 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Claude 3.5 Sonnet v2 or Llama 4 Maverick 17B Instruct FP8?
Both Claude 3.5 Sonnet v2 and Llama 4 Maverick 17B Instruct FP8 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Claude 3.5 Sonnet v2 and Llama 4 Maverick 17B Instruct FP8?
Claude 3.5 Sonnet v2 is available on AWS Bedrock and Anthropic. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-07. Data sourced from public model cards and provider documentation.