AI Models · Paid vs Paid

GPT-5.6 Terra Paid vs GPT-3.5 Turbo (older v0613) Paid

GPT-5.6 Terra vs GPT-3.5 Turbo (older v0613) 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-5.6 TerraPaidOpenAI
$2 /M input
$12 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
GPT-3.5 Turbo (older v0613)PaidOpenAI
$1 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window4K tokens
MultimodalNo
Self-hostNo
Choose GPT-3.5 Turbo (older v0613) for the lower output price ($2/M vs $12/M). Choose GPT-5.6 Terra if you need the larger 1.1M context window.

GPT-5.6 Terra vs GPT-3.5 Turbo (older v0613) specs

SpecGPT-5.6 TerraGPT-3.5 Turbo (older v0613)Winner
MakerOpenAIOpenAI
TypeProprietaryProprietary
Context window1.1M tokens4K tokensGPT-5.6 Terra
Input price$2/M$1/MGPT-3.5 Turbo (older v0613)
Output price$12/M$2/MGPT-3.5 Turbo (older v0613)
Vision / multimodalYesNoGPT-5.6 Terra
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

6.0×cheaper per output token

GPT-3.5 Turbo (older v0613) is ~6.0× cheaper than GPT-5.6 Terra on output tokens ($2 vs $12 per M tokens).

Choose GPT-5.6 Terra if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-3.5 Turbo (older v0613) 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-5.6 TerraGPT-3.5 Turbo (older v0613)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-5.6 Terra vs GPT-3.5 Turbo (older v0613)

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

GPT-5.6 Terra
GPT-3.5 Turbo (older v0613)
Intelligence index
42.3
5.5
Coding index
76.7
10.7
GPQA
92.5%
29.7%
Humanity's Last Exam
42.9%
Long Context Reasoning
83%
SciCode
55%
IFBench
71.2%
τ²-Bench
86.3%
τ-Bench Banking
40.2%
Terminal-Bench
88%
Terminal-Bench Hard
57.6%
MMLU-Pro
46.2%
MATH-500
44.1%
Speed
115.5 tok/s
0 tok/s
Latency
107.22s
0s
Intelligence per $
9.4
7.3

Benchmark data by Artificial Analysis.

How GPT-5.6 Terra and GPT-3.5 Turbo (older v0613) score

🏆 Best value & openness: GPT-5.6 Terra (3.2 vs 2.5 / 5)
CriterionGPT-5.6 TerraGPT-3.5 Turbo (older v0613)
Cost-efficiency3.54.5
Context window5.02.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

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-5.6 Terra Paid

OpenAI · Proprietary

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

GPT-3.5 Turbo (older v0613) Paid

OpenAI · Proprietary

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

Frequently asked questions

GPT-5.6 Terra vs GPT-3.5 Turbo (older v0613) — which is cheaper?

GPT-3.5 Turbo (older v0613) is cheaper on output ($2/M vs $12/M).

Which has the larger context window?

GPT-5.6 Terra offers the larger context window (1.1M tokens).

GPT-5.6 Terra vs GPT-3.5 Turbo (older v0613) — which should I pick in 2026?

Choose GPT-3.5 Turbo (older v0613) for the lower output price ($2/M vs $12/M). Choose GPT-5.6 Terra if you need the larger 1.1M context window.

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