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“ChatGPT 5.5” refers to OpenAI’s GPT-5.5; DeepSeek’s current release in the V4 family is V4.1-Flash. They are not identical kinds of products: GPT-5.5 is available through ChatGPT and Codex and is documented for API use, while DeepSeek V4.1-Flash is offered through DeepSeek’s API as deepseek-flash. OpenAI reports strong results for GPT-5.5 on a range of work and coding evaluations; DeepSeek describes V4.1-Flash as a large mixture-of-experts model. Those facts help frame a comparison, but they do not establish a universal winner.
What are GPT-5.5 and DeepSeek V4.1-Flash?
OpenAI announced GPT-5.5 on April 23, 2026. It presents the model as suited to complex professional work, including agentic coding, computer use, knowledge work, and early scientific research. OpenAI says it can plan multi-part tasks, use tools, check its work, and keep going when a task is ambiguous. These are the company’s descriptions of its model, not a guarantee that every task will succeed. OpenAI’s GPT-5.5 announcement
DeepSeek announced V4.1-Flash on September 10, 2026. DeepSeek’s news index also lists a V4 preview from April 24, 2026, and V3.2 from December 1, 2025; V4.1-Flash is the newest model announcement listed there as of October 8, 2026. DeepSeek Research & News DeepSeek V4.1-Flash announcement
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What does “DeepSeek’s massive model” mean?
DeepSeek describes V4.1-Flash as a 552-billion-parameter mixture-of-experts model, with 8 billion active parameters for input and 16 billion active parameters for output. The total parameter count is large, but it should not be read as the number of parameters used for every part of every request: DeepSeek’s own specification distinguishes total parameters from active parameters. The company identifies its architecture as Causal Encoder–Decoder and calls V4.1-Flash the smallest model in its new architecture family. These are DeepSeek-published specifications, not independent verification. DeepSeek V4.1-Flash announcement
DeepSeek also says the model has native visual understanding and multimodal API support. For developers, the relevant practical question is whether the API’s current interface and supported inputs fit the application—not just how many parameters the model has.
How do their published performance claims compare?
OpenAI reports the following GPT-5.5 evaluation results. They are provider-published figures, not a direct head-to-head test against DeepSeek V4.1-Flash. Several evaluations are internal, and each benchmark measures a particular set of tasks rather than general intelligence.
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| Evaluation | GPT-5.5 result reported by OpenAI | What to keep in mind |
|---|---|---|
| Terminal-Bench 2.0 | 82.7% | OpenAI-reported GPT-5.5 score; a benchmark result, not a general coding guarantee. |
| Expert-SWE | 73.1% | OpenAI identifies this as an internal evaluation. |
| GDPval | 84.9% wins or ties | OpenAI-reported result for the GDPval evaluation. |
| OSWorld-Verified | 78.7% | OpenAI-reported score on this computer-use evaluation. |
| BrowseComp | 84.4% | OpenAI-reported score on this browsing evaluation. |
| FrontierMath, Tiers 1–3 | 51.7% | OpenAI-reported score for these tiers. |
| FrontierMath, Tier 4 | 35.4% | OpenAI-reported score for Tier 4. |
| CyberGym | 81.8% | OpenAI-reported result on this cybersecurity evaluation. |
OpenAI’s system card says its comparisons are generally based on offline evaluations unless otherwise noted. It also cautions that comparison values for earlier models may come from their latest versions and differ from launch-time values. This makes benchmark scores useful for understanding a provider’s claims, but not a substitute for testing the exact models on the work you need done. OpenAI GPT-5.5 System Card
No controlled, comprehensive independent head-to-head study of these two models is established by the cited material. Avoid treating a score from one provider’s benchmark page as proof that its model is better overall.
Which one is better for coding or professional work?
The available evidence supports a use-case decision, not a blanket ranking. OpenAI positions GPT-5.5 for coding and complex professional tasks, and its reported evaluations include terminal work and software engineering. That makes those claims relevant if your work resembles the measured tasks, but results can vary with the prompt, tools, model version, and workflow.
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DeepSeek’s announcement emphasizes V4.1-Flash’s architecture, multimodal support, and efficiency claims. The cited material does not provide a directly comparable set of coding or professional-work benchmark results for V4.1-Flash, so it cannot establish that it beats or trails GPT-5.5 on those tasks.
- For a ChatGPT or Codex workflow: GPT-5.5 is the direct fit if you want to use OpenAI’s product experience or its documented API.
- For an API integration using DeepSeek: V4.1-Flash is the model DeepSeek currently documents under
deepseek-flash; check the live API documentation for supported inputs and routing. - For a consequential task: compare both versions on your own representative prompts, with the same tools, context, and success criteria. Check accuracy and whether the model reliably completes the full workflow, rather than relying on one headline score.
When testing, include the factors that affect the real deployment: response quality, tool reliability, latency and throughput, context and modality support, price, and integration or deployment requirements. Provider-reported results cannot settle those trade-offs for every application.
Where can you access them, and what does the API cost?
OpenAI’s April 23 announcement said GPT-5.5 was rolling out in ChatGPT and Codex to Plus, Pro, Business, and Enterprise users. GPT-5.5 Pro was listed for Pro, Business, and Enterprise in ChatGPT. At that time, the announcement described API access as forthcoming; OpenAI’s current model documentation now lists GPT-5.5 API endpoints for Chat Completions and Responses. Product eligibility and model availability can change, so check the live product and API pages before choosing a plan. OpenAI announcement GPT-5.5 API model documentation
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| API detail | OpenAI GPT-5.5 | DeepSeek V4.1-Flash |
|---|---|---|
| Documented model name | GPT-5.5 | deepseek-flash |
| Context window | 1,050,000 tokens, according to OpenAI’s current model documentation | not stated in the cited V4.1-Flash announcement |
| Maximum output | 128,000 tokens, according to OpenAI’s current model documentation | not stated in the cited V4.1-Flash announcement |
| Published API price | $5 per million input tokens and $30 per million output tokens, as listed in OpenAI’s current model documentation | A numerical per-token rate is not stated in accessible text in the cited announcement; check DeepSeek’s current API documentation and pricing information |
| Additional pricing conditions | OpenAI says input prompts above 272,000 tokens incur multipliers; regional processing incurs a 10% uplift | DeepSeek says off-peak API rates are half of peak rates, but the cited announcement does not provide accessible numerical rates |
OpenAI’s listed price and limits are changeable API terms, not a promise of what a particular application will cost: usage depends on input and output token volume and applicable conditions. DeepSeek says V4.1-Flash uses one quarter of the HBM and one eighth of the SSD storage of the previous generation; those efficiency comparisons are DeepSeek’s claims, not independently verified measurements. DeepSeek V4.1-Flash announcement
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should developers check before integrating DeepSeek?
DeepSeek’s September announcement says V4.1-Flash is live through its API as deepseek-flash, with multimodal support. It also describes temporary routing for legacy names and says V4-Pro requests were scheduled to route to V4.1-Flash at Flash rates from September 14, 2026 until V4.1-Pro launches. The current quick-start documentation lists deepseek-flash and deepseek-v4-pro, and says legacy Flash names route to V4.1-Flash. Because aliases and routing can change, verify the model name and behavior in the live documentation before deploying or budgeting. DeepSeek API quick start DeepSeek V4.1-Flash announcement
For GPT-5.5, OpenAI’s model page documents API access, supported endpoints, limits, and price. Confirm those details in the documentation when building an integration, especially if a workflow depends on a long context, a high output limit, or regional processing.
What do the safety and early-user statements establish?
OpenAI says GPT-5.5 underwent its Preparedness Framework, targeted red-teaming in advanced cybersecurity and biology, and feedback from nearly 200 early-access partners. These describe OpenAI’s process; they do not prove that GPT-5.5 is categorically safer than DeepSeek V4.1-Flash or safe for unsupervised use in every setting. The cited DeepSeek announcement does not provide a comparable named spokesperson quote or equivalent safety evaluation summary.
OpenAI also reported that Dan Shipper, Founder and CEO of Every, called GPT-5.5 “the first coding model I’ve used that has serious conceptual clarity.” This is an early tester’s opinion as reported by OpenAI, not an independent benchmark or a guarantee of coding quality.
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