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GPT-5.6 Sol Pro vs Nemotron 3.5 Content Safety

Nemotron 3.5 Content Safety costs 100.0x less per output token than GPT-5.6 Sol Pro ($0.20 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
Nemotron 3.5 Content SafetyNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.20
vs $20.00 vs $0.20 per 1M output tokens. Nemotron 3.5 Content Safety is 100.0x cheaper.

GPT-5.6 Sol 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-5.6 Sol Pro for a larger context window (1.05M against 131K tokens).

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; 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.

At a glance

Coding index
GPT-5.6 Sol 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-5.6 Sol Pro $20.00 against Nemotron 3.5 Content Safety $0.20 per million output tokens, 100.0x apart.
Context window
GPT-5.6 Sol Pro takes 1.05M 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
Coding benchmarks for GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
BenchmarkGPT-5.6 Sol ProNemotron 3.5 Content SafetyLeader
WeirdML89.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 42 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
BenchmarkGPT-5.6 Sol ProNemotron 3.5 Content SafetyLeader
APEX-Agents51.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
BenchmarkGPT-5.6 Sol ProNemotron 3.5 Content SafetyLeader
SimpleBench71.7%Not measuredOnly GPT-5.6 Sol Pro measured
Chess puzzles68.0%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
BenchmarkGPT-5.6 Sol ProNemotron 3.5 Content SafetyLeader
FrontierMath, tier 480.5%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 13 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
BenchmarkGPT-5.6 Sol ProNemotron 3.5 Content SafetyLeader
DTBench96.0%Not measuredOnly GPT-5.6 Sol Pro measured
LMCA59.2%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 46 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

GPT-5.6 Sol Pro$0.014Fits in one request
Nemotron 3.5 Content Safety$0.0003Fits in one request

Nemotron 3.5 Content Safety costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Sol Pro$0.260Fits in one request
Nemotron 3.5 Content Safety$0.011Fits in one request

Nemotron 3.5 Content Safety costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Sol Pro$1.00Fits in one request
Nemotron 3.5 Content Safety$0.042Exceeds the context window

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.

Specifications of GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety
SpecificationOpenAI GPT-5.6 Sol ProNVIDIA Nemotron 3.5 Content Safety
MakerOpenAINVIDIA
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026June 4, 2026
Context window1.05M131K
Input $/Mtok$4.00$0.20
Output $/Mtok$20.00$0.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Sol 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-5.6 Sol Pro for a larger context window (1.05M against 131K tokens).

Which is cheaper, GPT-5.6 Sol Pro or Nemotron 3.5 Content Safety?

GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 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-5.6 Sol Pro or Nemotron 3.5 Content Safety?

GPT-5.6 Sol Pro, with 1.05M tokens against 131K.

Has any benchmark tested both GPT-5.6 Sol Pro and Nemotron 3.5 Content Safety?

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Nemotron 3.5 Content Safety has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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