GPT-4 Vision Preview vs Llama 2 70B Chat
GPT-4 Vision Preview (2023) and Llama 2 70B 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 70B Chat ships a 4K-token context window. On pricing, Llama 2 70B Chat costs $0.5/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 2 70B Chat is ~1900% cheaper at $0.5/1M; pay for GPT-4 Vision Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Vision Preview | Llama 2 70B Chat |
|---|---|---|
| Decision fit | Coding, Agents, and Long context | Classification and JSON / Tool use |
| Context window | 128K | 4K |
| Cheapest output | $40/1M tokens | $1.5/1M tokens |
| Provider routes | 1 tracked | 14 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 70B Chat has the lower cheapest tracked output price at $1.5/1M tokens.
- Llama 2 70B Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 2 70B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 70B Chat for 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 70B Chat
$775
Cheapest tracked route: Databricks Foundation Model Serving
Estimated monthly gap: $17,225. 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 70B Chat; plan for SDK, billing, or endpoint changes.
- Llama 2 70B Chat is $38.50/1M 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 70B Chat adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 2 70B Chat and GPT-4 Vision Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Vision Preview is $38.50/1M 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)* | 70B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2023-04 | - |
Pricing and availability
| Pricing attribute | GPT-4 Vision Preview | Llama 2 70B Chat |
|---|---|---|
| Input price | $10/1M tokens | $0.5/1M tokens |
| Output price | $40/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Vision Preview | Llama 2 70B 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 70B 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 70B Chat lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 70B Chat lower by about $18.20 per million blended tokens. Availability is 1 providers versus 14, 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 70B 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 70B Chat?
GPT-4 Vision Preview supports 128K tokens, while Llama 2 70B 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 70B Chat?
Llama 2 70B Chat is cheaper on tracked token pricing. GPT-4 Vision Preview costs $10/1M input and $40/1M output tokens. Llama 2 70B Chat costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Vision Preview or Llama 2 70B Chat open source?
GPT-4 Vision Preview is listed under Proprietary. Llama 2 70B 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 70B 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 70B 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 70B Chat?
GPT-4 Vision Preview is available on Azure OpenAI. Llama 2 70B Chat is available on Databricks Foundation Model Serving, Microsoft Foundry, GCP Vertex AI, Alibaba Cloud PAI-EAS, and AWS Bedrock. 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.