AI Models · Paid vs Paid

GPT-4 Paid vs GPT-3.5 Turbo Instruct Paid

GPT-4 vs GPT-3.5 Turbo Instruct compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GPT-4PaidOpenAI
$30 /M input
$60 /M outputManaged API (no infra to run)
TypeProprietary
Context window8K tokens
MultimodalNo
Self-hostNo
GPT-3.5 Turbo InstructPaidOpenAI
$1.5 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window4K tokens
MultimodalNo
Self-hostNo
Choose GPT-3.5 Turbo Instruct for the lower output price ($2/M vs $60/M). Choose GPT-4 if you need the larger 8K context window.

GPT-4 vs GPT-3.5 Turbo Instruct specs

SpecGPT-4GPT-3.5 Turbo InstructWinner
MakerOpenAIOpenAI
TypeProprietaryProprietary
Context window8K tokens4K tokensGPT-4
Input price$30/M$1.5/MGPT-3.5 Turbo Instruct
Output price$60/M$2/MGPT-3.5 Turbo Instruct
Vision / multimodalNoNo
Tool / function callingYesNoGPT-4
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

30×cheaper per output token

GPT-3.5 Turbo Instruct is ~30× cheaper than GPT-4 on output tokens ($2 vs $60 per M tokens).

Choose GPT-4 if…
  • You want frontier performance through a managed API
  • You need the longer 8K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-3.5 Turbo Instruct if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT-4GPT-3.5 Turbo Instruct
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-4 vs GPT-3.5 Turbo Instruct

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GPT-3.5 Turbo Instruct delivers 37× more intelligence per dollar.
GPT-4
GPT-3.5 Turbo Instruct
Intelligence index
6.7
5.5
Coding index
13.1
10.7
GPQA
34.9%
29.7%
MMLU-Pro
56.2%
46.2%
MATH-500
56.8%
44.1%
IFBench
33.2%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
0.2
7.3

Benchmark data by Artificial Analysis.

How GPT-4 and GPT-3.5 Turbo Instruct score

🤝 Neck and neck on these criteria (2.0 vs 2.2 / 5).
CriterionGPT-4GPT-3.5 Turbo Instruct
Cost-efficiency2.04.5
Context window2.02.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.52.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GPT-4 Paid

OpenAI · Proprietary

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

GPT-3.5 Turbo Instruct Paid

OpenAI · Proprietary

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

Frequently asked questions

GPT-4 vs GPT-3.5 Turbo Instruct — which is cheaper?

GPT-3.5 Turbo Instruct is cheaper on output ($2/M vs $60/M).

Which has the larger context window?

GPT-4 offers the larger context window (8K tokens).

GPT-4 vs GPT-3.5 Turbo Instruct — which should I pick in 2026?

Choose GPT-3.5 Turbo Instruct for the lower output price ($2/M vs $60/M). Choose GPT-4 if you need the larger 8K context window.

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