Uncensored vs GPT-3.5 Turbo 16k
Uncensored costs 4.4x less per output token than GPT-3.5 Turbo 16k ($0.90 vs $4.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.90
- Coding
- No data
- Overall
- No data
- Output $/M
- $4.00
Uncensored or GPT-3.5 Turbo 16k: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Uncensored for output tokens 4.4x cheaper ($0.90 vs $4.00 per million) and a larger context window (128K against 16K tokens).
No benchmark has tested either model yet, so price and context are the only way to compare them.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Uncensored
Uncensored takes 128K tokens against 16K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Uncensored
Uncensored $0.0006, GPT-3.5 Turbo 16k $0.0050 per turn.
List prices
At a glance
- Coding index
- Uncensored not benchmarked, GPT-3.5 Turbo 16k not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Uncensored $0.90 against GPT-3.5 Turbo 16k $4.00 per million output tokens, 4.4x apart.
- Context window
- Uncensored takes 128K tokens, GPT-3.5 Turbo 16k 16K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Uncensored costs less
Repository review
50K input + 3K output tokens
Uncensored costs less
Agent loop
200K input + 10K output tokens
Uncensored costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Venice Uncensored | OpenAI GPT-3.5 Turbo 16k |
|---|---|---|
| Maker | Cognitive Computations | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | July 9, 2025 | August 28, 2023 |
| Context window | 128K | 16K |
| Input $/Mtok | $0.20 | $3.00 |
| Output $/Mtok | $0.90 | $4.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Uncensored better than GPT-3.5 Turbo 16k for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Uncensored for output tokens 4.4x cheaper ($0.90 vs $4.00 per million) and a larger context window (128K against 16K tokens).
Which is cheaper, Uncensored or GPT-3.5 Turbo 16k?
Uncensored costs $0.20 per million input tokens and $0.90 per million output tokens; GPT-3.5 Turbo 16k costs $3.00 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Uncensored or GPT-3.5 Turbo 16k?
Uncensored, with 128K tokens against 16K.
Has any benchmark tested both Uncensored and GPT-3.5 Turbo 16k?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.