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GPT-5.6 Sol Pro vs Schematron V2 Turbo

Schematron V2 Turbo costs 133.3x less per output token than GPT-5.6 Sol Pro ($0.15 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.6 Sol Pro Replace Schematron V2 Turbo
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
Schematron V2 TurboInference.net
Coding
No data
Overall
No data
Output $/M
$0.15
vs $20.00 vs $0.15 per 1M output tokens. Schematron V2 Turbo is 133.3x cheaper.

GPT-5.6 Sol Pro or Schematron V2 Turbo: 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 128K tokens).

Model AGPT-5.6 Sol ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BSchematron V2 TurboInference.netNot 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; Schematron V2 Turbo 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, Schematron V2 Turbo 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 Schematron V2 Turbo $0.15 per million output tokens, 133.3x apart.
Context window
GPT-5.6 Sol Pro takes 1.05M tokens, Schematron V2 Turbo 128K.

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 Schematron V2 Turbo
BenchmarkGPT-5.6 Sol ProSchematron V2 TurboLeader
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 Schematron V2 Turbo
BenchmarkGPT-5.6 Sol ProSchematron V2 TurboLeader
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 Schematron V2 Turbo
BenchmarkGPT-5.6 Sol ProSchematron V2 TurboLeader
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 Schematron V2 Turbo
BenchmarkGPT-5.6 Sol ProSchematron V2 TurboLeader
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 Schematron V2 Turbo
BenchmarkGPT-5.6 Sol ProSchematron V2 TurboLeader
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
Schematron V2 Turbo$0.0001Fits in one request

Schematron V2 Turbo costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Sol Pro$0.260Fits in one request
Schematron V2 Turbo$0.0019Fits in one request

Schematron V2 Turbo costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Sol Pro$1.00Fits in one request
Schematron V2 Turbo$0.0075Exceeds the context window

Schematron V2 Turbo 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 Schematron V2 Turbo
SpecificationOpenAI GPT-5.6 Sol ProInference.net Schematron V2 Turbo
MakerOpenAIInference.net
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026September 12, 2026
Context window1.05M128K
Input $/Mtok$4.00$0.03
Output $/Mtok$20.00$0.15
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 Schematron V2 Turbo 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 128K tokens).

Which is cheaper, GPT-5.6 Sol Pro or Schematron V2 Turbo?

GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 per million output tokens; Schematron V2 Turbo costs $0.03 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.6 Sol Pro or Schematron V2 Turbo?

GPT-5.6 Sol Pro, with 1.05M tokens against 128K.

Has any benchmark tested both GPT-5.6 Sol Pro and Schematron V2 Turbo?

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Schematron V2 Turbo has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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