GPT-4 Vision Preview vs Nemotron-Nano-12B-v2-VL
GPT-4 Vision Preview (2023) and Nemotron-Nano-12B-v2-VL (2025) are compact production models from OpenAI and NVIDIA AI. GPT-4 Vision Preview ships a 128k-token context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced context window. On pricing, Nemotron-Nano-12B-v2-VL costs $0.20/1M input tokens versus $10/1M 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-Nano-12B-v2-VL is ~4900% cheaper at $0.20/1M; pay for GPT-4 Vision Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Vision Preview | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Best for | multimodal apps | multimodal apps and provider-routed production |
| Decision fit | Coding, Agents, and Long context | Vision and JSON / Tool use |
| Context window | 128k | — |
| Cheapest output | $40/1M tokens | $0.60/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 Vision Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 Vision Preview uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4 Vision Preview for Coding, Agents, and Long context.
- Nemotron-Nano-12B-v2-VL has the lower cheapest tracked output price at $0.60/1M tokens.
- Nemotron-Nano-12B-v2-VL has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron-Nano-12B-v2-VL uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron-Nano-12B-v2-VL for Vision and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Vision Preview
$18,000
Cheapest tracked route/tier: Azure OpenAI
Nemotron-Nano-12B-v2-VL
$310
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $17,690. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Vision Preview and Nemotron-Nano-12B-v2-VL; plan for SDK, billing, or endpoint changes.
- Nemotron-Nano-12B-v2-VL is $39.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Nemotron-Nano-12B-v2-VL adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Nemotron-Nano-12B-v2-VL and GPT-4 Vision Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Vision Preview is $39.40/1M 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.
- GPT-4 Vision Preview adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2025-10-28 |
| Context window | 128k | — |
| Parameters | 1.76T (8x222B MoE)* | 12B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2023-04 | - |
Pricing and availability
| Pricing attribute | GPT-4 Vision Preview | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Input price | $10/1M tokens | $0.20/1M tokens |
| Output price | $40/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Vision Preview | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Nemotron-Nano-12B-v2-VL and code execution: GPT-4 Vision Preview. Both models share vision and multimodal input, 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 Vision Preview lists $10/1M input and $40/1M output tokens on the cheapest tracked provider, while Nemotron-Nano-12B-v2-VL lists $0.20/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-12B-v2-VL lower by about $18.68 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose GPT-4 Vision Preview when coding workflow support are central to the workload. Choose Nemotron-Nano-12B-v2-VL when vision-heavy evaluation, 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. 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 is cheaper, GPT-4 Vision Preview or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL is cheaper on tracked token pricing. GPT-4 Vision Preview costs $10/1M input and $40/1M output tokens. Nemotron-Nano-12B-v2-VL costs $0.20/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Vision Preview or Nemotron-Nano-12B-v2-VL open source?
GPT-4 Vision Preview is listed under Proprietary. Nemotron-Nano-12B-v2-VL is listed under Llama 3 Community. 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 Vision Preview or Nemotron-Nano-12B-v2-VL?
Both GPT-4 Vision Preview and Nemotron-Nano-12B-v2-VL expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. 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 Vision Preview or Nemotron-Nano-12B-v2-VL?
Both GPT-4 Vision Preview and Nemotron-Nano-12B-v2-VL expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for structured outputs, GPT-4 Vision Preview or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL 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 GPT-4 Vision Preview and Nemotron-Nano-12B-v2-VL?
GPT-4 Vision Preview is available on Azure OpenAI. Nemotron-Nano-12B-v2-VL is available on NVIDIA NIM, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.