LLM Reference

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 $0.50/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Phi 3.5 MoE Instruct is ~500% cheaper at $0.50/1M; pay for Claude 3.7 Sonnet only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude 3.7 SonnetPhi 3.5 MoE Instruct
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsgeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window200k128k
Cheapest output$15/1M tokens$0.50/1M tokens
Provider routes6 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude 3.7 Sonnet when...
  • Claude 3.7 Sonnet has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude 3.7 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude 3.7 Sonnet uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
Choose Phi 3.5 MoE Instruct when...
  • Phi 3.5 MoE Instruct has the lower cheapest tracked output price at $0.50/1M tokens.
  • Local decision data tags Phi 3.5 MoE Instruct for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Phi 3.5 MoE Instruct

Claude 3.7 Sonnet

$6,150

Cheapest tracked route/tier: GCP Vertex AI

Phi 3.5 MoE Instruct

$525

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $5,625. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude 3.7 Sonnet -> Phi 3.5 MoE Instruct
  • No overlapping tracked provider route is sourced for Claude 3.7 Sonnet and Phi 3.5 MoE Instruct; plan for SDK, billing, or endpoint changes.
  • Phi 3.5 MoE Instruct is $14.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Phi 3.5 MoE Instruct -> Claude 3.7 Sonnet
  • No overlapping tracked provider route is sourced for Phi 3.5 MoE Instruct and Claude 3.7 Sonnet; plan for SDK, billing, or endpoint changes.
  • Claude 3.7 Sonnet is $14.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude 3.7 Sonnet adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2024-03-042024-08-20
Context window200k128k
Parameters16x3.8B (42B, 6.6B active)
Architecturedecoder onlydecoder only
LicenseProprietaryMIT(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2024-112023-10

Pricing and availability

Pricing attributeClaude 3.7 SonnetPhi 3.5 MoE Instruct
Input price$3/1M tokens$0.50/1M tokens
Output price$15/1M tokens$0.50/1M tokens
Providers

Capabilities

CapabilityClaude 3.7 SonnetPhi 3.5 MoE Instruct
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

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 on the cheapest tracked provider, while Phi 3.5 MoE Instruct lists $0.50/1M input and $0.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 MoE Instruct lower by about $6.10 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 $0.50/1M input and $0.50/1M 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.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.