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Claude 3.7 Sonnet vs Phi 3.5 MoE Instruct

Claude 3.7 Sonnet (2024) and Phi 3.5 MoE Instruct (2024) are frontier reasoning models from Anthropic and Microsoft Research. Claude 3.7 Sonnet ships a 200K-token context window, while Phi 3.5 MoE Instruct ships a 128K-token context window. On pricing, Phi 3.5 MoE Instruct costs $0.5/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Phi 3.5 MoE Instruct is ~500% cheaper at $0.5/1M; pay for Claude 3.7 Sonnet only for coding workflow support.

Specs

Released2024-03-042024-08-20
Context window200K128K
Parameters16x3.8B (42B, 6.6B active)
Architecturedecoder onlydecoder only
LicenseProprietaryMIT
Knowledge cutoff2024-11-

Pricing and availability

Claude 3.7 SonnetPhi 3.5 MoE Instruct
Input price$3/1M tokens$0.5/1M tokens
Output price$15/1M tokens$0.5/1M tokens
Providers

Capabilities

Claude 3.7 SonnetPhi 3.5 MoE Instruct
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, reasoning mode: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, tool use: Claude 3.7 Sonnet, structured outputs: Claude 3.7 Sonnet, and code execution: Claude 3.7 Sonnet. 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 3.7 Sonnet lists $3/1M input and $15/1M output tokens, while Phi 3.5 MoE Instruct lists $0.5/1M input and $0.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 MoE Instruct lower by about $6.1 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.

Choose Claude 3.7 Sonnet when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Phi 3.5 MoE 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 3.7 Sonnet or Phi 3.5 MoE Instruct?

Claude 3.7 Sonnet supports 200K tokens, while Phi 3.5 MoE 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 3.7 Sonnet or Phi 3.5 MoE Instruct?

Phi 3.5 MoE Instruct is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Phi 3.5 MoE Instruct costs $0.5/1M input and $0.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude 3.7 Sonnet or Phi 3.5 MoE Instruct open source?

Claude 3.7 Sonnet is listed under Proprietary. Phi 3.5 MoE Instruct is listed under MIT. 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 3.7 Sonnet or Phi 3.5 MoE Instruct?

Claude 3.7 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 3.7 Sonnet or Phi 3.5 MoE Instruct?

Claude 3.7 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 3.7 Sonnet and Phi 3.5 MoE Instruct?

Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Phi 3.5 MoE Instruct is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.