LLM Reference

GPT-4o-mini vs Step 3.7 Flash

GPT-4o-mini (2024) and Step 3.7 Flash (2026) are frontier reasoning models from OpenAI and StepFun. GPT-4o-mini ships a 128k-token context window, while Step 3.7 Flash ships a 256k-token context window. On pricing, GPT-4o-mini costs $0.15/1M input tokens versus $0.20/1M 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.

Step 3.7 Flash is safer overall; choose GPT-4o-mini when provider fit matters.

Decision scorecard

Local evidence first
SignalGPT-4o-miniStep 3.7 Flash
Best forprovider-routed productionreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitRAG, Long context, and VisionCoding, RAG, and Agents
Context window128k256k
Cheapest output$0.60/1M tokens$1.15/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-4o-mini when...
  • GPT-4o-mini has the lower cheapest tracked output price at $0.60/1M tokens.
  • GPT-4o-mini has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags GPT-4o-mini for RAG, Long context, and Vision.
Choose Step 3.7 Flash when...
  • Step 3.7 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Step 3.7 Flash uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Step 3.7 Flash for Coding, RAG, and Agents.

Monthly cost at traffic

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

Lower estimate GPT-4o-mini

GPT-4o-mini

$270

Cheapest tracked route/tier: OpenAI API

Step 3.7 Flash

$448

Cheapest tracked route/tier: StepFun

Estimated monthly gap: $178. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4o-mini -> Step 3.7 Flash
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Step 3.7 Flash is $0.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Step 3.7 Flash adds Vision, Multimodal, and Reasoning in local capability data.
Step 3.7 Flash -> GPT-4o-mini
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-4o-mini is $0.55/1M 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.

Specs

Specification
Released2024-07-182026-05-29
Context window128k256k
Parameters198B (11B active)
Architecturedecoder onlymixture of experts
LicenseProprietaryApache 2.0
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeGPT-4o-miniStep 3.7 Flash
Input price$0.15/1M tokens$0.20/1M tokens
Output price$0.60/1M tokens$1.15/1M tokens
Providers

Capabilities

CapabilityGPT-4o-miniStep 3.7 Flash
VisionNoYes
MultimodalNoYes
ReasoningNoYes
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
Code executionNoNo
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: Step 3.7 Flash, multimodal input: Step 3.7 Flash, reasoning mode: Step 3.7 Flash, function calling: Step 3.7 Flash, and tool use: Step 3.7 Flash. Both models share structured outputs, 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, GPT-4o-mini lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider, while Step 3.7 Flash lists $0.20/1M input and $1.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o-mini lower by about $0.20 per million blended tokens. Availability is 4 providers versus 3, so concentration risk also matters.

Choose GPT-4o-mini when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Step 3.7 Flash when reasoning depth and larger context windows 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.

FAQ

Which has a larger context window, GPT-4o-mini or Step 3.7 Flash?

Step 3.7 Flash supports 256k tokens, while GPT-4o-mini 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, GPT-4o-mini or Step 3.7 Flash?

GPT-4o-mini is cheaper on tracked token pricing. GPT-4o-mini costs $0.15/1M input and $0.60/1M output tokens. Step 3.7 Flash costs $0.20/1M input and $1.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-4o-mini or Step 3.7 Flash open source?

GPT-4o-mini is listed under Proprietary. Step 3.7 Flash is listed under Apache 2.0. 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, GPT-4o-mini or Step 3.7 Flash?

Step 3.7 Flash 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, GPT-4o-mini or Step 3.7 Flash?

Step 3.7 Flash 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 GPT-4o-mini and Step 3.7 Flash?

GPT-4o-mini is available on OpenAI API, Azure OpenAI, OpenRouter, and Vercel AI Gateway. Step 3.7 Flash is available on StepFun, OpenRouter, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-29. Data sourced from public model cards and provider documentation.