GPT-4.1 Mini vs Nemotron 3 Ultra
GPT-4.1 Mini (2025) and Nemotron 3 Ultra (2026) are frontier reasoning models from OpenAI and NVIDIA AI. GPT-4.1 Mini ships a 1.05m-token context window, while Nemotron 3 Ultra ships a 1m-token context window. On pricing, GPT-4.1 Mini costs $0.40/1M input tokens versus $0.50/1M 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.
Nemotron 3 Ultra is safer overall; choose GPT-4.1 Mini when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-4.1 Mini | Nemotron 3 Ultra |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | reasoning-heavy apps and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 1.05m | 1m |
| Cheapest output | $1.60/1M tokens | $2.20/1M tokens |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4.1 Mini has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4.1 Mini has the lower cheapest tracked output price at $1.60/1M tokens.
- GPT-4.1 Mini has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4.1 Mini uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags GPT-4.1 Mini for Coding, RAG, and Agents.
- Nemotron 3 Ultra uniquely exposes Reasoning in local model data.
- Local decision data tags Nemotron 3 Ultra for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4.1 Mini
$720
Cheapest tracked route/tier: OpenRouter
Nemotron 3 Ultra
$950
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $230. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Nemotron 3 Ultra is $0.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Nemotron 3 Ultra adds Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4.1 Mini is $0.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- GPT-4.1 Mini adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2026-06-04 |
| Context window | 1.05m | 1m |
| Parameters | — | 550B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | GPT-4.1 Mini | Nemotron 3 Ultra |
|---|---|---|
| Input price | $0.40/1M tokens | $0.50/1M tokens |
| Output price | $1.60/1M tokens | $2.20/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4.1 Mini | Nemotron 3 Ultra |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4.1 Mini, multimodal input: GPT-4.1 Mini, reasoning mode: Nemotron 3 Ultra, function calling: GPT-4.1 Mini, tool use: GPT-4.1 Mini, structured outputs: GPT-4.1 Mini, and code execution: GPT-4.1 Mini. 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, GPT-4.1 Mini lists $0.40/1M input and $1.60/1M output tokens on the cheapest tracked provider, while Nemotron 3 Ultra lists $0.50/1M input and $2.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4.1 Mini lower by about $0.25 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose GPT-4.1 Mini when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Nemotron 3 Ultra when reasoning depth 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-4.1 Mini or Nemotron 3 Ultra?
GPT-4.1 Mini supports 1.05m tokens, while Nemotron 3 Ultra supports 1m 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-4.1 Mini or Nemotron 3 Ultra?
GPT-4.1 Mini is cheaper on tracked token pricing. GPT-4.1 Mini costs $0.40/1M input and $1.60/1M output tokens. Nemotron 3 Ultra costs $0.50/1M input and $2.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4.1 Mini or Nemotron 3 Ultra open source?
GPT-4.1 Mini is listed under Proprietary. Nemotron 3 Ultra is listed under NVIDIA Open Model. 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-4.1 Mini or Nemotron 3 Ultra?
GPT-4.1 Mini 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, GPT-4.1 Mini or Nemotron 3 Ultra?
GPT-4.1 Mini 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-4.1 Mini and Nemotron 3 Ultra?
GPT-4.1 Mini is available on OpenRouter, Replicate API, OpenAI API, and Vercel AI Gateway. Nemotron 3 Ultra is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.