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Grok-3 vs Phi 3.5 Mini Instruct

Grok-3 (2026) and Phi 3.5 Mini Instruct (2024) are frontier reasoning models from xAI and Microsoft Research. Grok-3 ships a 1M-token context window, while Phi 3.5 Mini Instruct ships a 128K-token context window. On pricing, Grok-3 costs $0.8/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Grok-3 fits 8x more tokens; pick it for long-context work and Phi 3.5 Mini Instruct for tighter calls.

Specs

Released2026-01-152024-08-20
Context window1M128K
Parameters1B3.8B
Architecture-decoder only
LicenseProprietaryMIT
Knowledge cutoff2025-04-

Pricing and availability

Grok-3Phi 3.5 Mini Instruct
Input price$0.8/1M tokens$0.9/1M tokens
Output price$2.4/1M tokens$0.9/1M tokens
Providers

Capabilities

Grok-3Phi 3.5 Mini 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: Grok-3, multimodal input: Grok-3, reasoning mode: Grok-3, function calling: Grok-3, tool use: Grok-3, and structured outputs: Grok-3. 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, Grok-3 lists $0.8/1M input and $2.4/1M output tokens, while Phi 3.5 Mini Instruct lists $0.9/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 Mini Instruct lower by about $0.38 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.

Choose Grok-3 when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Phi 3.5 Mini Instruct when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Grok-3 or Phi 3.5 Mini Instruct?

Grok-3 supports 1M tokens, while Phi 3.5 Mini 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, Grok-3 or Phi 3.5 Mini Instruct?

Grok-3 is cheaper on tracked token pricing. Grok-3 costs $0.8/1M input and $2.4/1M output tokens. Phi 3.5 Mini Instruct costs $0.9/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Grok-3 or Phi 3.5 Mini Instruct open source?

Grok-3 is listed under Proprietary. Phi 3.5 Mini 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, Grok-3 or Phi 3.5 Mini Instruct?

Grok-3 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Grok-3 or Phi 3.5 Mini Instruct?

Grok-3 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 Grok-3 and Phi 3.5 Mini Instruct?

Grok-3 is available on OpenRouter, xAI Console, and Chutes AI. Phi 3.5 Mini Instruct is available on Fireworks AI and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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