GPT-5 Pro vs Nemotron 3.5 Content Safety
Nemotron 3.5 Content Safety costs 600.0x less per output token than GPT-5 Pro ($0.20 vs $120.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $120.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
GPT-5 Pro or Nemotron 3.5 Content Safety: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5 Pro for a larger context window (400K against 131K tokens).
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Nemotron 3.5 Content Safety has none yet. Compare them on price and context instead.
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
GPT-5 Pro
GPT-5 Pro takes 400K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Content Safety
GPT-5 Pro $0.075, Nemotron 3.5 Content Safety $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-5 Pro not benchmarked, Nemotron 3.5 Content Safety 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
- GPT-5 Pro $120.00 against Nemotron 3.5 Content Safety $0.20 per million output tokens, 600.0x apart.
- Context window
- GPT-5 Pro takes 400K tokens, Nemotron 3.5 Content Safety 131K.
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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-5 Pro | Nemotron 3.5 Content Safety | Leader |
|---|---|---|---|
| WeirdML | 60.4% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5 Pro | Nemotron 3.5 Content Safety | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 150.6 | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GPT-5 Pro | Nemotron 3.5 Content Safety | Leader |
|---|---|---|---|
| ARC-AGI | 70.2% | Not measured | Only GPT-5 Pro measured |
| ARC-AGI-2 | 18.3% | Not measured | Only GPT-5 Pro measured |
| SimpleBench | 61.6% | Not measured | Only GPT-5 Pro measured |
| Chess puzzles | 48.0% | Not measured | Only GPT-5 Pro measured |
| Kagi LLM Benchmark | 76.8% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5 Pro | Nemotron 3.5 Content Safety | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | 55.8% | Not measured | Only GPT-5 Pro measured |
| FrontierMath, tier 4 | 19.5% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
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
Nemotron 3.5 Content Safety costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Content Safety costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Content Safety 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 | OpenAI GPT-5 Pro | NVIDIA Nemotron 3.5 Content Safety |
|---|---|---|
| Maker | OpenAI | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2025 | June 4, 2026 |
| Context window | 400K | 131K |
| Input $/Mtok | $15.00 | $0.20 |
| Output $/Mtok | $120.00 | $0.20 |
| 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 GPT-5 Pro better than Nemotron 3.5 Content Safety for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Pro for a larger context window (400K against 131K tokens).
Which is cheaper, GPT-5 Pro or Nemotron 3.5 Content Safety?
GPT-5 Pro costs $15.00 per million input tokens and $120.00 per million output tokens; Nemotron 3.5 Content Safety costs $0.20 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5 Pro or Nemotron 3.5 Content Safety?
GPT-5 Pro, with 400K tokens against 131K.
Has any benchmark tested both GPT-5 Pro and Nemotron 3.5 Content Safety?
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Nemotron 3.5 Content Safety has none yet. Compare them on price and context instead. Data as of October 22, 2026.