NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs GPT-Image 2.5 Flare
At a Glance
| Compare |  GPT-Image 2.5 FlareOpenAI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | #19 of 44$0.092 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 29, 2026 | $5.00Openai ↗ · Sep 9, 2026 |
| Output priceFrom · USD / 1M tokens | $2.20Openrouter ↗ · Aug 29, 2026 | $30.00Openai ↗ · Sep 9, 2026 |
| Context windowMaximum documented tokens | 262K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 9, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | GPT-Image-2.5 Flare |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Nvidia Nemotron 3 Ultra 550b A55b Bf16 | Gpt Image 2 5 |
| Model | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | GPT-Image-2.5 Flare |
| Version | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | GPT-Image-2.5 Flare |
| Lifecycle | active | active |
| Released | 2026-06-04 | 2026-09-08 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Image |
| Context window | 262K | Unknown |
| Total parameters | 560.5B | Unknown |
| Active parameters | 55B | Unknown |
| License | other | Unknown |
| Open weights | Yes | Unknown |
| API available | Yes | Yes |
| Self-hostable | Yes | Unknown |
| Provider access | Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Openai (Standard) |
| Capabilities | chat, generation, reasoning, tools | image-editing, image-generation, inpainting |
| Default usage-tier rate limits | Unknown | Tier 1: 100,000 TPM, 5 IPM, Tier 2: 250,000 TPM, 20 IPM, Tier 3: 800,000 TPM, 50 IPM, Tier 4: 3,000,000 TPM, 150 IPM, Tier 5: 8,000,000 TPM, 250 IPM |
| Default snapshot | Unknown | gpt-image-2.5-flare-2026-09-08 |
| Model positioning | Unknown | Fast, high-quality everyday image generation |
| Quality settings | Unknown | low, medium, high, xhigh, max, auto |
| Supported API routes | Unknown | v1/images/generations, v1/images/edits |
| Unsupported API routes | Unknown | v1/assistants, v1/audio/speech, v1/audio/transcriptions, v1/audio/translations, v1/batch, v1/chat/completions, v1/completions, v1/embeddings, v1/fine-tuning, v1/moderations, v1/realtime, v1/realtime/transcription_sessions, v1/realtime/translations, v1/responses, v1/videos |
NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities
GPT-Image 2.5 Flare Capabilities
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Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs GPT-Image 2.5 Flare FAQs
Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GPT-Image 2.5 Flare, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $0.50 and GPT-Image 2.5 Flare is $5.00 per million tokens, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 is cheaper on this metric. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $2.20 and GPT-Image 2.5 Flare is $30.00 per million tokens, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 is cheaper on this metric.
Which has a larger context window, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
Neither model has a larger sourced context window in this comparison. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is 262K and GPT-Image 2.5 Flare is —.
Which performs better in benchmarks, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare be self-hosted?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight; GPT-Image 2.5 Flare is of unknown open-weight status.
Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GPT-Image 2.5 Flare understand images?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input; GPT-Image 2.5 Flare is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is — and GPT-Image 2.5 Flare is —.
Do NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GPT-Image 2.5 Flare support reasoning and tool use?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. GPT-Image 2.5 Flare: image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3 sourced provider routes; GPT-Image 2.5 Flare has 1, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GPT-Image 2.5 Flare?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.