AI Models · Paid vs Paid

GPT-4 Turbo Paid vs Claude Sonnet 5 Paid

GPT-4 Turbo vs Claude Sonnet 5 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-4 TurboPaidOpenAI
$10 /M input
$30 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalYes
Self-hostNo
Claude Sonnet 5PaidAnthropic
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Claude Sonnet 5 for the lower output price ($10/M vs $30/M). It also gives you the larger 1M context window.

GPT-4 Turbo vs Claude Sonnet 5 specs

SpecGPT-4 TurboClaude Sonnet 5Winner
MakerOpenAIAnthropic
TypeProprietaryProprietary
Context window128K tokens1M tokensClaude Sonnet 5
Input price$10/M$2/MClaude Sonnet 5
Output price$30/M$10/MClaude Sonnet 5
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

3.0×cheaper per output token

Claude Sonnet 5 is ~3.0× cheaper than GPT-4 Turbo on output tokens ($10 vs $30 per M tokens).

Choose GPT-4 Turbo if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Claude Sonnet 5 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT-4 TurboClaude Sonnet 5
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-4 Turbo vs Claude Sonnet 5

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

Claude Sonnet 5 delivers 19× more intelligence per dollar.
GPT-4 Turbo
Claude Sonnet 5
Intelligence index
7
38.4
Coding index
21.5
71.5
MMLU-Pro
69.4%
Humanity's Last Exam
3.1%
41.3%
LiveCodeBench
29.1%
MATH-500
73.7%
AIME
15%
GPQA
91.1%
Long Context Reasoning
82%
SciCode
54.3%
τ-Bench Banking
37.3%
Terminal-Bench
80.5%
Speed
0 tok/s
83.2 tok/s
Latency
0s
114.22s
Intelligence per $
0.5
9.6

Benchmark data by Artificial Analysis.

How GPT-4 Turbo and Claude Sonnet 5 score

🏆 Best value & openness: Claude Sonnet 5 (3.2 vs 2.8 / 5)
CriterionGPT-4 TurboClaude Sonnet 5
Cost-efficiency3.03.5
Context window3.55.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

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 Turbo Paid

OpenAI · Proprietary

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

Claude Sonnet 5 Paid

Anthropic · Proprietary

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Claude Sonnet 5 (batch)Claude Sonnet 4.6Claude Sonnet 4.6 (batch)Claude Sonnet 4.5Claude Sonnet 4.5 (batch)Claude Sonnet 4

Frequently asked questions

GPT-4 Turbo vs Claude Sonnet 5 — which is cheaper?

Claude Sonnet 5 is cheaper on output ($10/M vs $30/M).

Which has the larger context window?

Claude Sonnet 5 offers the larger context window (1M tokens).

GPT-4 Turbo vs Claude Sonnet 5 — which should I pick in 2026?

Choose Claude Sonnet 5 for the lower output price ($10/M vs $30/M). It also gives you the larger 1M context window.

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