Claude Opus 4.6 vs Llama 4 Maverick 17B Instruct FP8
Claude Opus 4.6 (2026) and Llama 4 Maverick 17B Instruct FP8 (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude Opus 4.6 ships a 1M-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window. On pricing, Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Maverick 17B Instruct FP8 is ~3233% cheaper at $0.15/1M; pay for Claude Opus 4.6 only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-05 | 2025-04-05 |
| Context window | 1M | 1M |
| Parameters | — | 17B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | Claude Opus 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $5/1M tokens | $0.15/1M tokens |
| Output price | $25/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | Claude Opus 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Claude Opus 4.6, multimodal input: Claude Opus 4.6, reasoning mode: Claude Opus 4.6, function calling: Claude Opus 4.6, tool use: Claude Opus 4.6, and code execution: Claude Opus 4.6. 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 Opus 4.6 lists $5/1M input and $25/1M output tokens, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $10.71 per million blended tokens. Availability is 4 providers versus 7, so concentration risk also matters.
Choose Claude Opus 4.6 when coding workflow support are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when provider fit, lower input-token cost, and broader provider choice 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 Opus 4.6 or Llama 4 Maverick 17B Instruct FP8?
Claude Opus 4.6 supports 1M tokens, while Llama 4 Maverick 17B Instruct FP8 supports 1M 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 Opus 4.6 or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Claude Opus 4.6 costs $5/1M input and $25/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Opus 4.6 or Llama 4 Maverick 17B Instruct FP8 open source?
Claude Opus 4.6 is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Open Source. 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 Opus 4.6 or Llama 4 Maverick 17B Instruct FP8?
Claude Opus 4.6 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 Opus 4.6 or Llama 4 Maverick 17B Instruct FP8?
Claude Opus 4.6 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 Opus 4.6 and Llama 4 Maverick 17B Instruct FP8?
Claude Opus 4.6 is available on OpenRouter, Anthropic, AWS Bedrock, and GCP Vertex AI. 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.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.