SSyncDev

AI model comparison

Gemma 4 31B IT vs GPT-5.6 Sol

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

Gemma 4 31B IT and GPT-5.6 Sol both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

Google

Gemma 4 31B IT

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Context
262.1K
Max output
32.8K
Input / 1M
$0.10
Output / 1M
$0.34
Output speed
—

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profileVendor docs ↗
VS

OpenAI

GPT-5.6 Sol

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

Context
1.1M
Max output
128K
Input / 1M
$5.00
Output / 1M
$30.00
Output speed
—

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Gemma 4 31B IT leads in recorded data

  • Input price: $0.10
  • Output price: $0.34

Where GPT-5.6 Sol leads in recorded data

  • Context capacity: 1.1M
  • Maximum output: 128K

Context capacity

Higher listed limit

Gemma 4 31B IT:262.1K

GPT-5.6 Sol:1.1M

GPT-5.6 Sol

Maximum output

Higher listed limit

Gemma 4 31B IT:32.8K

GPT-5.6 Sol:128K

GPT-5.6 Sol

Input price

Lower recorded price

Gemma 4 31B IT:$0.10

GPT-5.6 Sol:$5.00

Gemma 4 31B IT

Output price

Lower recorded price

Gemma 4 31B IT:$0.34

GPT-5.6 Sol:$30.00

Gemma 4 31B IT

Output speed

Higher recorded throughput

Gemma 4 31B IT:—

GPT-5.6 Sol:—

No complete comparison

Time to first token

Lower recorded latency

Gemma 4 31B IT:—

GPT-5.6 Sol:—

No complete comparison

Intelligence Index

Higher directory index

Gemma 4 31B IT:—

GPT-5.6 Sol:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationGemma 4 31B ITGPT-5.6 Sol
ProviderGoogleOpenAI
Model familygemmagpt-sol
Accepted inputstext, imagetext, image, pdf
Produced outputstexttext
Context window262.1K1.1MRecorded lead
Max output32.8K128KRecorded lead
Intelligence Index——
Input price / 1M$0.10Recorded lead$5.00
Output price / 1M$0.34Recorded lead$30.00
Output speed——
Time to first token——
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseOpen weightsProprietary
ReleasedApr 2, 2026Jul 9, 2026

Workload guidance

Which model should you choose?

On the published numbers, GPT-5.6 Sol accepts the larger context window and Gemma 4 31B IT is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison