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GPT-5.6 Sol Pro vs Perceptron Mk1

Perceptron Mk1 costs 13.3x less per output token than GPT-5.6 Sol Pro ($1.50 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.6 Sol Pro Replace Perceptron Mk1
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
Perceptron Mk1Perceptron
Coding
No data
Overall
No data
Output $/M
$1.50
vs $20.00 vs $1.50 per 1M output tokens. Perceptron Mk1 is 13.3x cheaper.

GPT-5.6 Sol Pro or Perceptron Mk1: 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 33K tokens).

Model AGPT-5.6 Sol ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BPerceptron Mk1PerceptronNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Perceptron Mk1 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, Perceptron Mk1 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 Perceptron Mk1 $1.50 per million output tokens, 13.3x apart.
Context window
GPT-5.6 Sol Pro takes 1.05M tokens, Perceptron Mk1 33K.

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 Perceptron Mk1
BenchmarkGPT-5.6 Sol ProPerceptron Mk1Leader
WeirdML89.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 38 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 Perceptron Mk1
BenchmarkGPT-5.6 Sol ProPerceptron Mk1Leader
APEX-Agents51.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for GPT-5.6 Sol Pro and Perceptron Mk1
BenchmarkGPT-5.6 Sol ProPerceptron Mk1Leader
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 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GPT-5.6 Sol Pro and Perceptron Mk1
BenchmarkGPT-5.6 Sol ProPerceptron Mk1Leader
FrontierMath, tier 480.5%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 12 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GPT-5.6 Sol Pro and Perceptron Mk1
BenchmarkGPT-5.6 Sol ProPerceptron Mk1Leader
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 44 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
Perceptron Mk1$0.0009Fits in one request

Perceptron Mk1 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Sol Pro$0.260Fits in one request
Perceptron Mk1$0.012Exceeds the context window

Perceptron Mk1 costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Sol Pro$1.00Fits in one request
Perceptron Mk1$0.045Exceeds the context window

Perceptron Mk1 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 Perceptron Mk1
SpecificationOpenAI GPT-5.6 Sol ProPerceptron Mk1
MakerOpenAIPerceptron
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026May 12, 2026
Context window1.05M33K
Input $/Mtok$4.00$0.15
Output $/Mtok$20.00$1.50
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 Perceptron Mk1 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 33K tokens).

Which is cheaper, GPT-5.6 Sol Pro or Perceptron Mk1?

GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 per million output tokens; Perceptron Mk1 costs $0.15 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.6 Sol Pro or Perceptron Mk1?

GPT-5.6 Sol Pro, with 1.05M tokens against 33K.

Has any benchmark tested both GPT-5.6 Sol Pro and Perceptron Mk1?

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Perceptron Mk1 has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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