LLM Reference

Falcon 180B vs GPT-4 Turbo

Falcon 180B (2023) and GPT-4 Turbo (2024) are compact production models from Technology Innovation Institute (TII) and OpenAI. Falcon 180B ships a not-yet-sourced context window, while GPT-4 Turbo ships a 128K-token context window. On Massive Multitask Language Understanding, GPT-4 Turbo leads by 2.3 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

GPT-4 Turbo is safer overall; choose Falcon 180B when provider fit matters.

Decision scorecard

Local evidence first
SignalFalcon 180BGPT-4 Turbo
Decision fitCoding and ClassificationCoding, RAG, and Agents
Context window128K
Cheapest output-$15/1M tokens
Provider routes2 tracked5 tracked
Shared benchmarks1 rowsMassive Multitask Language Understanding leader

Decision tradeoffs

Choose Falcon 180B when...
  • Local decision data tags Falcon 180B for Coding and Classification.
Choose GPT-4 Turbo when...
  • GPT-4 Turbo leads the largest shared benchmark signal on Massive Multitask Language Understanding by 2.3 points.
  • GPT-4 Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-4 Turbo uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Falcon 180B

Unavailable

No complete token price in local provider data

GPT-4 Turbo

$7,750

Cheapest tracked route: Replicate API

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Falcon 180B -> GPT-4 Turbo
  • No overlapping tracked provider route is sourced for Falcon 180B and GPT-4 Turbo; plan for SDK, billing, or endpoint changes.
  • GPT-4 Turbo adds Vision, Multimodal, and Function calling in local capability data.
GPT-4 Turbo -> Falcon 180B
  • No overlapping tracked provider route is sourced for GPT-4 Turbo and Falcon 180B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2023-11-282024-04-09
Context window128K
Parameters180B1.76T (8x222B MoE)*
Architecturedecoder onlymixture of experts
LicenseApache 2.0Proprietary
Knowledge cutoff-2023-12

Pricing and availability

Pricing attributeFalcon 180BGPT-4 Turbo
Input price-$5/1M tokens
Output price-$15/1M tokens
Providers

Capabilities

CapabilityFalcon 180BGPT-4 Turbo
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoYes

Benchmarks

BenchmarkFalcon 180BGPT-4 Turbo
Massive Multitask Language Understanding84.286.5

Deep dive

On shared benchmark coverage, Massive Multitask Language Understanding has Falcon 180B at 84.2 and GPT-4 Turbo at 86.5, with GPT-4 Turbo ahead by 2.3 points. The largest visible gap is 2.3 points on Massive Multitask Language Understanding, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: GPT-4 Turbo, multimodal input: GPT-4 Turbo, function calling: GPT-4 Turbo, tool use: GPT-4 Turbo, structured outputs: GPT-4 Turbo, and code execution: GPT-4 Turbo. 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.

Pricing coverage is uneven: Falcon 180B has no token price sourced yet and GPT-4 Turbo has $5/1M input tokens. Provider availability is 2 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Falcon 180B when provider fit are central to the workload. Choose GPT-4 Turbo when coding workflow support 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.

FAQ

Is Falcon 180B or GPT-4 Turbo open source?

Falcon 180B is listed under Apache 2.0. GPT-4 Turbo is listed under Proprietary. 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, Falcon 180B or GPT-4 Turbo?

GPT-4 Turbo 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, Falcon 180B or GPT-4 Turbo?

GPT-4 Turbo 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.

Which is better for function calling, Falcon 180B or GPT-4 Turbo?

GPT-4 Turbo has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Falcon 180B or GPT-4 Turbo?

GPT-4 Turbo has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Falcon 180B and GPT-4 Turbo?

Falcon 180B is available on Alibaba Cloud PAI-EAS and Scale AI GenAI Platform. GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. 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.