SOMA X v0.3.0 vs GPT-Image 2.5 Sunburst
At a Glance
| Compare |  SOMA X v0.3.0NVIDIA |  GPT-Image 2.5 SunburstOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $5.00Openai ↗ · Sep 9, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $30.00Openai ↗ · Sep 9, 2026 |
| Context windowMaximum documented tokens | Not reported | Not reported |
| Model facts checked | Sep 2, 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 | SOMA-X v0.3.0 | GPT-Image-2.5 Sunburst |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Soma X | Gpt Image 2 5 |
| Model | SOMA-X v0.3.0 | GPT-Image-2.5 Sunburst |
| Version | SOMA-X v0.3.0 | GPT-Image-2.5 Sunburst |
| Lifecycle | active | active |
| Released | 2026-09-02 | 2026-09-08 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Model-specific input | Text, Image |
| Output modalities | 3D | Image |
| Context window | Unknown | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | Unknown |
| API available | No | Yes |
| Self-hostable | Yes | Unknown |
| Provider access | Unknown | Openai (Standard) |
| Capabilities | animation, hand-modeling, human-body-modeling, motion-retargeting, pose-inversion, simulation | 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-sunburst-2026-09-08 |
| Model positioning | Unknown | Most capable GPT Image model for editing precision |
| 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 |
SOMA X v0.3.0 Capabilities
GPT-Image 2.5 Sunburst Capabilities
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Primary Evidence
Sources and Freshness
Questions
SOMA X v0.3.0 vs GPT-Image 2.5 Sunburst FAQs
Is SOMA X v0.3.0 or GPT-Image 2.5 Sunburst better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both SOMA X v0.3.0 and GPT-Image 2.5 Sunburst, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
Only GPT-Image 2.5 Sunburst has a directly sourced input price: $5.00 per million tokens. Only GPT-Image 2.5 Sunburst has a directly sourced output price: $30.00 per million tokens.
Which has a larger context window, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
Neither model has a larger sourced context window in this comparison. SOMA X v0.3.0 is — and GPT-Image 2.5 Sunburst is —.
Which performs better in benchmarks, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can SOMA X v0.3.0 or GPT-Image 2.5 Sunburst be self-hosted?+
SOMA X v0.3.0 is the only model in this pair currently marked as self-hostable. SOMA X v0.3.0 is open weight; GPT-Image 2.5 Sunburst is of unknown open-weight status.
Can SOMA X v0.3.0 and GPT-Image 2.5 Sunburst understand images?+
SOMA X v0.3.0 is not documented with image input; GPT-Image 2.5 Sunburst is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
Neither has a larger sourced maximum output. SOMA X v0.3.0 is — and GPT-Image 2.5 Sunburst is —.
Do SOMA X v0.3.0 and GPT-Image 2.5 Sunburst support reasoning and tool use?+
SOMA X v0.3.0: none of these features are definitively sourced. GPT-Image 2.5 Sunburst: image input. Feature support does not establish relative quality.
Which is available from more inference providers, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
SOMA X v0.3.0 has 0 sourced provider routes; GPT-Image 2.5 Sunburst has 1, so GPT-Image 2.5 Sunburst has broader tracked availability.
Which offers better value, SOMA X v0.3.0 or GPT-Image 2.5 Sunburst?+
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.