GPT-4 vs Nemotron 4 340B
GPT-4 (2023) and Nemotron 4 340B (2025) are compact production models from OpenAI and NVIDIA AI. GPT-4 ships a 8k-token context window, while Nemotron 4 340B ships a 4k-token context window. On pricing, Nemotron 4 340B costs $4.20/1M input tokens versus $30/1M 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 4 340B is ~614% cheaper at $4.20/1M; pay for GPT-4 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 | Nemotron 4 340B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | provider-routed production |
| Decision fit | Coding, Agents, and Vision | Classification and JSON / Tool use |
| Context window | 8k | 4k |
| Cheapest output | $60/1M tokens | $4.20/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags GPT-4 for Coding, Agents, and Vision.
- Nemotron 4 340B has the lower cheapest tracked output price at $4.20/1M tokens.
- Local decision data tags Nemotron 4 340B for Classification 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
$39,000
Cheapest tracked route/tier: OpenAI API
Nemotron 4 340B
$4,410
Cheapest tracked route/tier: DeepInfra
Estimated monthly gap: $34,590. 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 and Nemotron 4 340B; plan for SDK, billing, or endpoint changes.
- Nemotron 4 340B is $55.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 4 340B and GPT-4; plan for SDK, billing, or endpoint changes.
- GPT-4 is $55.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-03-14 | 2025-02-27 |
| Context window | 8k | 4k |
| Parameters | 1.76T (8x222B MoE)* | 340B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2021-09 | - |
Pricing and availability
| Pricing attribute | GPT-4 | Nemotron 4 340B |
|---|---|---|
| Input price | $30/1M tokens | $4.20/1M tokens |
| Output price | $60/1M tokens | $4.20/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 | Nemotron 4 340B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | No | No |
| Structured outputs | Yes | 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 vision: GPT-4, multimodal input: GPT-4, function calling: GPT-4, and code execution: GPT-4. 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-4 lists $30/1M input and $60/1M output tokens on the cheapest tracked provider, while Nemotron 4 340B lists $4.20/1M input and $4.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron 4 340B lower by about $34.80 per million blended tokens. Availability is 4 providers versus 2, so concentration risk also matters.
Choose GPT-4 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Nemotron 4 340B when provider fit and lower input-token cost 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, GPT-4 or Nemotron 4 340B?
GPT-4 supports 8k tokens, while Nemotron 4 340B supports 4k 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 or Nemotron 4 340B?
Nemotron 4 340B is cheaper on tracked token pricing. GPT-4 costs $30/1M input and $60/1M output tokens. Nemotron 4 340B costs $4.20/1M input and $4.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 or Nemotron 4 340B open source?
GPT-4 is listed under Proprietary. Nemotron 4 340B 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 or Nemotron 4 340B?
GPT-4 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 or Nemotron 4 340B?
GPT-4 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 and Nemotron 4 340B?
GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, and OpenRouter. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.