SSyncDev

AI model comparison

DeepSeek V4.1 Flash vs GPT-6.1 Sol

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

DeepSeek V4.1 Flash adds native image understanding to the current Flash route. GPT-6.1 Sol supplies OpenAI’s managed coding and professional-task interface. This comparison should begin with the actual endpoint, rather than a model family name stored in an older client.

Migration details

DeepSeek’s current Flash identifier is deepseek-flash; older V4 Flash aliases can route to the newer model. Record what the request actually reaches. Sol uses the Responses API for tools and requires a supported reasoning setting. An older Chat Completions tool wrapper is not automatically interchangeable.

Hosted and local control

V4.1 Flash has MIT-licensed weights. The complete checkpoint and compatible runtime still have to be operated. Sol is a managed route. A local compute estimate and a hosted token bill need comparable utilization assumptions.

Visual tests

Include screenshots of the real application, small labels and images that contradict the written prompt. Check the final answer and tool arguments. An assistant that can describe a screenshot may still choose an incorrect element or invent text it cannot read.

Side-by-sideCapabilities and practical differences

DeepSeek

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a multimodal mixture-of-experts model released, with native image understanding.

Context
1.05M
Max output
393.22K
Input / 1M tokens
From $0.15
Output / 1M tokens
From $0.60

Pricing conditions: Off-peak USD rates per million tokens are $0.15 uncached input, $0.003 cached input and $0.60 output. Peak rates are twice those amounts, during 01:00–04:00 and 06:00–10:00 UTC on weekdays excluding Chinese public holidays. The current model ID is deepseek-flash.

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profileapi-docs.deepseek.com ↗
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.

DeepSeek V4.1 Flash

  • Maximum output: 393.22K

GPT-6.1 Sol

  • Context capacity: 1.05M

Context capacity

Higher listed limit

DeepSeek V4.1 Flash:1.05M

GPT-6.1 Sol:1.05M

GPT-6.1 Sol

Maximum output

Higher listed limit

DeepSeek V4.1 Flash:393.22K

GPT-6.1 Sol:128K

DeepSeek V4.1 Flash

Specifications

Pricing, limits and capabilities

Specifications for DeepSeek V4.1 Flash and GPT-6.1 Sol. Higher limits and lower prices describe these figures only.
SpecificationDeepSeek V4.1 FlashGPT-6.1 Sol
ProviderDeepSeekOpenAI
Listed pricing routeDeepSeekOpenAI
Model family—GPT-6
Accepted inputstext, imagetext, image
Produced outputstexttext
Context window1.05M1.05MHigher
Max output393.22KHigher128K
Input price / 1MFrom $0.15From $2.00
Output price / 1MFrom $0.60From $10.00
Reasoning modeDocumentedDocumented
Tool callingNot documentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseMITProvider terms

Workload guidance

Which model should you choose?

Evaluate the finished task

Use DeepSeek when the checkpoint or current Flash route matches the integration you want to test. Use Sol as a candidate when the managed OpenAI tool interface fits your application. Keep the same repository, tool access and acceptance tests.

Budget DeepSeek’s peak/off-peak schedule and Sol’s processing and context conditions separately. Count retries, malformed outputs and manual repair. Prefer the route that completes your representative work within the required cost and time, with a reviewable record of its failure cases.

Source notes

This is a documentation-based selection guide, not an independent benchmark. Publisher source 1 · Publisher source 2 · Publisher source 3.

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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