--- title: "GPT Image 2 AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/openai-gpt-image-2" date_modified: "2026-08-12" profile_kind: "reference" --- # GPT Image 2 model profile GPT Image 2 is a OpenAI model profile with a 400,000-token context window. The dated catalog snapshot records text, image modalities and interfaces for image generation, prompt caching, structured output, vision, web search pricing. GPT Image 2 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt. GPT Image 2 accepts text and image and returns image. The snapshot records image generation, prompt caching, structured output, vision, and web search pricing as capabilities or interfaces. The dated unit-price records list $8 per 1M tokens for input_image, $5 per 1M tokens for input_text, and $30 per 1M tokens for output_image. Each figure retains its billable dimension, variant, provider, source, and evidence date. No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated. ## Profile facts - **Profile type:** Model research profile - **Provider or publisher:** OpenAI - **Context window:** 400,000 tokens - **Snapshot date:** 2026-08-12 - **Reference catalog ID:** openai/gpt-image-2 ## Context, modalities, and identity GPT Image 2 accepts text and image and returns image. The snapshot records image generation, prompt caching, structured output, vision, and web search pricing as capabilities or interfaces. - **Provider or publisher:** OpenAI - **Context window:** 400,000 tokens - **Maximum output:** No verified numeric limit - **Input modalities:** text and image - **Output modalities:** image - **Knowledge cutoff:** Not disclosed ## Capabilities and supported controls Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route. - **Supported parameters:** frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, top_logprobs, top_p - image generation - prompt caching - structured output - vision - web search pricing ## Dated pricing snapshot The dated unit-price records list $8 per 1M tokens for input_image, $5 per 1M tokens for input_text, and $30 per 1M tokens for output_image. Each figure retains its billable dimension, variant, provider, source, and evidence date. These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price. - **Price date:** 2026-08-12 - **Input:** No verified rate - **Cached input:** $2 per 1M tokens - **Output:** No verified rate | Billable | Variant | Cost | Unit | Provider | As of | | --- | --- | --- | --- | --- | --- | | input_image | Default | $8 | per 1M tokens | OpenAI | 2026-08-12 | | input_text | Default | $5 | per 1M tokens | OpenAI | 2026-08-12 | | output_image | Default | $30 | per 1M tokens | OpenAI | 2026-08-12 | ## Benchmark evidence and limitations No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ## Popularity and market context No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. - **Third-party catalog rank:** No verified rank - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is GPT Image 2? GPT Image 2 is a OpenAI model profile with a 400,000-token context window. The dated catalog snapshot records text, image modalities and interfaces for image generation, prompt caching, structured output, vision, web search pricing. ### What context window does GPT Image 2 have? The dated profile lists 400,000 tokens of context. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for GPT Image 2? No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ### Is GPT Image 2 available through Kendr? This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases. ### Does the popularity rank represent GPT Image 2's global market share? No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. No global market-share percentage is inferred when the source does not publish one. ## Sources and evidence dates - [GPT Image 2 third-party catalog record](https://openrouter.ai/openai/gpt-image-2) — catalog, checked 2026-08-12 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12 - [OpenAI official model documentation](https://developers.openai.com/api/docs/models) — primary, checked 2026-08-12 - [GPT Image 2 third-party catalog record](https://openrouter.ai/openai/gpt-image-2) — catalog, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.