GPT-4 Vision Preview vs Llama 2 13B Chat
GPT-4 Vision Preview (2023) and Llama 2 13B Chat (2023) are compact production models from OpenAI and AI at Meta. GPT-4 Vision Preview ships a 128K-token context window, while Llama 2 13B Chat ships a 4K-token context window. On pricing, Llama 2 13B Chat costs $0.1/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 2 13B Chat is ~9900% cheaper at $0.1/1M; pay for GPT-4 Vision Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Vision Preview | Llama 2 13B Chat |
|---|---|---|
| Decision fit | Coding, Agents, and Long context | Coding, Classification, and JSON / Tool use |
| Context window | 128K | 4K |
| Cheapest output | $40/1M tokens | $0.5/1M tokens |
| Provider routes | 1 tracked | 12 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 Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-4 Vision Preview for Coding, Agents, and Long context.
- Llama 2 13B Chat has the lower cheapest tracked output price at $0.5/1M tokens.
- Llama 2 13B Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 2 13B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 13B Chat for Coding, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GPT-4 Vision Preview
$18,000
Cheapest tracked route: Azure OpenAI
Llama 2 13B Chat
$205
Cheapest tracked route: Replicate API
Estimated monthly gap: $17,795. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Vision Preview and Llama 2 13B Chat; plan for SDK, billing, or endpoint changes.
- Llama 2 13B Chat is $39.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Llama 2 13B Chat adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 2 13B Chat and GPT-4 Vision Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Vision Preview is $39.50/1M 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 Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2023-07-18 |
| Context window | 128K | 4K |
| Parameters | 1.76T (8x222B MoE)* | 13B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2023-04 | 2022-09 |
Pricing and availability
| Pricing attribute | GPT-4 Vision Preview | Llama 2 13B Chat |
|---|---|---|
| Input price | $10/1M tokens | $0.1/1M tokens |
| Output price | $40/1M tokens | $0.5/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Vision Preview | Llama 2 13B Chat |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4 Vision Preview, multimodal input: GPT-4 Vision Preview, structured outputs: Llama 2 13B Chat, and code execution: GPT-4 Vision Preview. 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 Vision Preview lists $10/1M input and $40/1M output tokens, while Llama 2 13B Chat lists $0.1/1M input and $0.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 13B Chat lower by about $18.78 per million blended tokens. Availability is 1 providers versus 12, so concentration risk also matters.
Choose GPT-4 Vision Preview when coding workflow support and larger context windows are central to the workload. Choose Llama 2 13B Chat 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, GPT-4 Vision Preview or Llama 2 13B Chat?
GPT-4 Vision Preview supports 128K tokens, while Llama 2 13B Chat 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 Vision Preview or Llama 2 13B Chat?
Llama 2 13B Chat is cheaper on tracked token pricing. GPT-4 Vision Preview costs $10/1M input and $40/1M output tokens. Llama 2 13B Chat costs $0.1/1M input and $0.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Vision Preview or Llama 2 13B Chat open source?
GPT-4 Vision Preview is listed under Proprietary. Llama 2 13B Chat is listed under Open Source. 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 Llama 2 13B Chat?
GPT-4 Vision Preview 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-4 Vision Preview or Llama 2 13B Chat?
GPT-4 Vision Preview 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 Vision Preview and Llama 2 13B Chat?
GPT-4 Vision Preview is available on Azure OpenAI. Llama 2 13B Chat is available on Alibaba Cloud PAI-EAS, AWS Bedrock, Microsoft Foundry, GCP Vertex AI, and Cloudflare Workers AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.