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MiniMax M2.7 vs Phi-4 Mini

MiniMax M2.7 (2026) and Phi-4 Mini (2024) are frontier reasoning models from MiniMax and Microsoft Research. MiniMax M2.7 ships a 205K-token context window, while Phi-4 Mini ships a not-yet-sourced context window. On Google-Proof Q&A, MiniMax M2.7 leads by 62.2 pts. On pricing, Phi-4 Mini costs $0.05/1M input tokens versus $0.3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Phi-4 Mini is ~500% cheaper at $0.05/1M; pay for MiniMax M2.7 only for reasoning depth.

Decision scorecard

Local evidence first
SignalMiniMax M2.7Phi-4 Mini
Decision fitRAG, Agents, and Long contextClassification
Context window205K
Cheapest output$1.2/1M tokens$0.15/1M tokens
Provider routes2 tracked3 tracked
Shared benchmarksGoogle-Proof Q&A leader1 rows

Decision tradeoffs

Choose MiniMax M2.7 when...
  • MiniMax M2.7 leads the largest shared benchmark signal on Google-Proof Q&A by 62.2 points.
  • MiniMax M2.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • MiniMax M2.7 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags MiniMax M2.7 for RAG, Agents, and Long context.
Choose Phi-4 Mini when...
  • Phi-4 Mini has the lower cheapest tracked output price at $0.15/1M tokens.
  • Phi-4 Mini has broader tracked provider coverage for fallback and procurement flexibility.
  • 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 Phi-4 Mini

MiniMax M2.7

$540

Cheapest tracked route: OpenRouter

Phi-4 Mini

$77.50

Cheapest tracked route: Novita AI

Estimated monthly gap: $463. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

MiniMax M2.7 -> Phi-4 Mini
  • Provider overlap exists on Fireworks AI; start route-level A/B tests there.
  • Phi-4 Mini is $1.05/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Phi-4 Mini -> MiniMax M2.7
  • Provider overlap exists on Fireworks AI; start route-level A/B tests there.
  • MiniMax M2.7 is $1.05/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • MiniMax M2.7 adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-03-182024-12-13
Context window205K
Parameters10B active3.8B
Architecturedecoder only-
LicenseProprietaryMicrosoft Research
Knowledge cutoff--

Pricing and availability

Pricing attributeMiniMax M2.7Phi-4 Mini
Input price$0.3/1M tokens$0.05/1M tokens
Output price$1.2/1M tokens$0.15/1M tokens
Providers

Capabilities

CapabilityMiniMax M2.7Phi-4 Mini
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

BenchmarkMiniMax M2.7Phi-4 Mini
Google-Proof Q&A87.425.2

Deep dive

On shared benchmark coverage, Google-Proof Q&A has MiniMax M2.7 at 87.4 and Phi-4 Mini at 25.2, with MiniMax M2.7 ahead by 62.2 points. The largest visible gap is 62.2 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 reasoning mode: MiniMax M2.7, function calling: MiniMax M2.7, tool use: MiniMax M2.7, and structured outputs: MiniMax M2.7. 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, MiniMax M2.7 lists $0.3/1M input and $1.2/1M 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 Phi-4 Mini lower by about $0.49 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.

Choose MiniMax M2.7 when reasoning depth are central to the workload. Choose Phi-4 Mini when provider fit, lower input-token cost, and broader provider choice 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, MiniMax M2.7 or Phi-4 Mini?

Phi-4 Mini is cheaper on tracked token pricing. MiniMax M2.7 costs $0.3/1M input and $1.2/1M 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 MiniMax M2.7 or Phi-4 Mini open source?

MiniMax M2.7 is listed under Proprietary. 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 reasoning mode, MiniMax M2.7 or Phi-4 Mini?

MiniMax M2.7 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, MiniMax M2.7 or Phi-4 Mini?

MiniMax M2.7 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, MiniMax M2.7 or Phi-4 Mini?

MiniMax M2.7 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run MiniMax M2.7 and Phi-4 Mini?

MiniMax M2.7 is available on OpenRouter 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.

Continue comparing

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