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OpenChat 3.5 (0106) vs Phi-4 Mini

OpenChat 3.5 (0106) (2024) and Phi-4 Mini (2024) are compact production models from Alignment Lab AI and Microsoft Research. OpenChat 3.5 (0106) ships a 8K-token context window, while Phi-4 Mini ships a not-yet-sourced context window. On Google-Proof Q&A, OpenChat 3.5 (0106) leads by 24.7 pts. On pricing, Phi-4 Mini costs $0.05/1M input tokens versus $0.07/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Phi-4 Mini is ~40% cheaper at $0.05/1M; pay for OpenChat 3.5 (0106) only for provider fit.

Decision scorecard

Local evidence first
SignalOpenChat 3.5 (0106)Phi-4 Mini
Decision fitCoding, Classification, and JSON / Tool useClassification
Context window8K
Cheapest output$0.07/1M tokens$0.15/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarksGoogle-Proof Q&A leader2 rows

Decision tradeoffs

Choose OpenChat 3.5 (0106) when...
  • OpenChat 3.5 (0106) leads the largest shared benchmark signal on Google-Proof Q&A by 24.7 points.
  • OpenChat 3.5 (0106) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • OpenChat 3.5 (0106) has the lower cheapest tracked output price at $0.07/1M tokens.
  • OpenChat 3.5 (0106) has broader tracked provider coverage for fallback and procurement flexibility.
  • OpenChat 3.5 (0106) uniquely exposes Structured outputs in local model data.
Choose Phi-4 Mini when...
  • Local decision data tags Phi-4 Mini for Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate OpenChat 3.5 (0106)

OpenChat 3.5 (0106)

$73.50

Cheapest tracked route: Lepton AI API

Phi-4 Mini

$77.50

Cheapest tracked route: Novita AI

Estimated monthly gap: $4.00. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

OpenChat 3.5 (0106) -> Phi-4 Mini
  • Provider overlap exists on Fireworks AI; start route-level A/B tests there.
  • Phi-4 Mini is $0.08/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.
Phi-4 Mini -> OpenChat 3.5 (0106)
  • Provider overlap exists on Fireworks AI; start route-level A/B tests there.
  • OpenChat 3.5 (0106) is $0.08/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • OpenChat 3.5 (0106) adds Structured outputs in local capability data.

Specs

Specification
Released2024-01-062024-12-13
Context window8K
Parameters7B3.8B
Architecturedecoder only-
LicenseUnknownMicrosoft Research
Knowledge cutoff--

Pricing and availability

Pricing attributeOpenChat 3.5 (0106)Phi-4 Mini
Input price$0.07/1M tokens$0.05/1M tokens
Output price$0.07/1M tokens$0.15/1M tokens
Providers

Capabilities

CapabilityOpenChat 3.5 (0106)Phi-4 Mini
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

BenchmarkOpenChat 3.5 (0106)Phi-4 Mini
Google-Proof Q&A49.925.2
Massive Multitask Language Understanding76.867.3

Deep dive

On shared benchmark coverage, Google-Proof Q&A has OpenChat 3.5 (0106) at 49.9 and Phi-4 Mini at 25.2, with OpenChat 3.5 (0106) ahead by 24.7 points; Massive Multitask Language Understanding has OpenChat 3.5 (0106) at 76.8 and Phi-4 Mini at 67.3, with OpenChat 3.5 (0106) ahead by 9.5 points. The largest visible gap is 24.7 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on structured outputs: OpenChat 3.5 (0106). 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, OpenChat 3.5 (0106) lists $0.07/1M input and $0.07/1M output tokens, while Phi-4 Mini lists $0.05/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts OpenChat 3.5 (0106) lower by about $0.01 per million blended tokens. Availability is 4 providers versus 3, so concentration risk also matters.

Choose OpenChat 3.5 (0106) when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini 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 is cheaper, OpenChat 3.5 (0106) or Phi-4 Mini?

Phi-4 Mini is cheaper on tracked token pricing. OpenChat 3.5 (0106) costs $0.07/1M input and $0.07/1M output tokens. Phi-4 Mini costs $0.05/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is OpenChat 3.5 (0106) or Phi-4 Mini open source?

OpenChat 3.5 (0106) is listed under Unknown. Phi-4 Mini is listed under Microsoft Research. 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 structured outputs, OpenChat 3.5 (0106) or Phi-4 Mini?

OpenChat 3.5 (0106) has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run OpenChat 3.5 (0106) and Phi-4 Mini?

OpenChat 3.5 (0106) is available on Lepton AI API, Cloudflare Workers AI, Together AI, and Fireworks AI. Phi-4 Mini is available on Fireworks AI, NVIDIA NIM, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick OpenChat 3.5 (0106) over Phi-4 Mini?

Phi-4 Mini is ~40% cheaper at $0.05/1M; pay for OpenChat 3.5 (0106) only for provider fit. If your workload also depends on provider fit, start with OpenChat 3.5 (0106); if it depends on provider fit, run the same evaluation with Phi-4 Mini.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.