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AI model comparison

Gemini 3.8 Flash vs GPT-6.1 Sol

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Multimodal document input and coding workflows

Gemini Flash records native audio, video and PDF inputs in addition to text and images. Sol accepts text and images. Both return text, and neither should be treated as a speech-output model simply because it can participate in a broader assistant.

Read the recorded specifications

The table below shows each profile's documented interface and recorded limits. Missing prices or measurements remain unknown. Open the source links on each profile to confirm the current checkpoint or API route.

Side-by-sideCapabilities and practical differences

Google

Gemini 3.8 Flash

Gemini 3.8 Flash is Google's multimodal reasoning model for coding, tool-driven applications and document work. It accepts text, images, audio, video and PDFs, and produces text.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$0.75
Output / 1M tokens
$3.75

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input
  • PDF input

Produces

  • Text output
Full model profileai.google.dev ↗
VS

OpenAI

GPT-6.1 Sol

GPT-6.1 Sol is OpenAI's updated Sol model for coding and professional tasks. It accepts text and images and returns text.

Context
1.05M
Max output
128K
Input / 1M tokens
From $2.00
Output / 1M tokens
From $10.00

Pricing conditions: Standard starting rates cover prompts up to 272K input tokens. Longer prompts use 2× input/cache rates and 1.5× output rates for the full request. Fast, Ultrafast, cache writes and tool calls have separate conditions.

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profiledevelopers.openai.com ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GPT-6.1 Sol

  • Context capacity: 1.05M
  • Maximum output: 128K

Context capacity

Higher listed limit

Gemini 3.8 Flash:1.05M

GPT-6.1 Sol:1.05M

GPT-6.1 Sol

Maximum output

Higher listed limit

Gemini 3.8 Flash:65.54K

GPT-6.1 Sol:128K

GPT-6.1 Sol

Specifications

Pricing, limits and capabilities

Specifications for Gemini 3.8 Flash and GPT-6.1 Sol. Higher limits and lower prices describe these figures only.
SpecificationGemini 3.8 FlashGPT-6.1 Sol
ProviderGoogleOpenAI
Listed pricing routeGoogle Gemini APIOpenAI
Model familyGemini 3GPT-6
Accepted inputstext, image, audio, video, pdftext, image
Produced outputstexttext
Context window1.05M1.05MHigher
Max output65.54K128KHigher
Input price / 1M$0.75From $2.00
Output price / 1M$3.75From $10.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProvider termsProvider terms

Workload guidance

Which model should you choose?

A useful decision test

Choose the required input path first. For code, test complete patches; for documents, check tables, conflicting facts and missing evidence. If preprocessing converts audio or video to another representation for one model, include that stage in both the accuracy and cost comparison.

Inspect the first model profile and the second model profile. Keep your test inputs, runtime settings and acceptance criteria with the result so the comparison can be repeated.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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