Claude Sonnet 4.6 vs Llama 4 Maverick 17B Instruct FP8
Claude Sonnet 4.6 (2026) and Llama 4 Maverick 17B Instruct FP8 (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude Sonnet 4.6 ships a 1m-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On MMLU PRO, Claude Sonnet 4.6 leads by 6.8 pts. 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 ~1900% cheaper at $0.15/1M; pay for Claude Sonnet 4.6 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Sonnet 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $15/1M tokens | $0.60/1M tokens |
| Provider routes | 6 tracked | 11 tracked |
| Shared benchmarks | MMLU PRO leader | 8 shared |
Decision tradeoffs
- Claude Sonnet 4.6 holds a shared-benchmark lead on MMLU PRO, ahead by 6.8 points.
- Claude Sonnet 4.6 uniquely exposes Reasoning, JSON / Tool use, and Code execution in local model data.
- Local decision data tags Claude Sonnet 4.6 for Coding, RAG, and Agents.
- 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 route 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 Sonnet 4.6
$6,150
Cheapest tracked route/tier: OpenRouter
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $5,880. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry, OpenRouter, and GCP Vertex AI; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $14.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, JSON / JSON / Tool use, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter, AWS Bedrock, and GCP Vertex AI; start route-level A/B tests there.
- Claude Sonnet 4.6 is $14.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Sonnet 4.6 adds Reasoning, JSON / JSON / Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-17 | 2025-04-05 |
| Context window | 1m | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-08 | 2024-08 |
Pricing and availability
| Pricing attribute | Claude Sonnet 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $3/1M tokens | $0.15/1M tokens |
| Output price | $15/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Claude Sonnet 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | Yes | No |
| Parallel agents | Yes | No |
Benchmarks
| Benchmark | Claude Sonnet 4.6 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| MMLU PRO | 87.3 | 80.5 |
| Google-Proof Q&A | 89.9 | 67.1 |
| LiveCodeBench | 80.0 | 43.4 |
| Massive Multi-discipline Multimodal Understanding | 83.6 | 73.4 |
| HumanEval | 98.0 | 77.4 |
| Chatbot Arena | 1459.0 | 1365.0 |
| τ-bench | 87.5 | 68.5 |
| MMMU Pro | 75.6 | 59.6 |
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.