GPT-Image 2.5 Flare vs Ternary Bonsai 27B
At a Glance
| Compare |  GPT-Image 2.5 FlareOpenAI |  Ternary Bonsai 27BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Openai ↗ · Sep 9, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $30.00Openai ↗ · Sep 9, 2026 | Not reported |
| Context windowMaximum documented tokens | Not reported | 262K |
| Model facts checked | Sep 9, 2026View model evidence → | Sep 18, 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 | GPT-Image-2.5 Flare | Ternary Bonsai 27B |
|---|---|---|
| Developer | OpenAI | PrismML |
| Family | Gpt Image 2 5 | Bonsai 27b |
| Model | GPT-Image-2.5 Flare | Ternary Bonsai 27B |
| Version | GPT-Image-2.5 Flare | Ternary Bonsai 27B |
| Lifecycle | active | active |
| Released | 2026-09-08 | 2026-07-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Image | Text |
| Context window | Unknown | 262K |
| Total parameters | Unknown | 27B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | Unknown | Yes |
| API available | Yes | Yes |
| Self-hostable | Unknown | Yes |
| Provider access | Openai (Standard) | Together Ai (Standard) |
| Capabilities | image-editing, image-generation, inpainting | chat, generation, reasoning, tools, vision |
| Base model | Unknown | Qwen3.6 27B |
| Default usage-tier rate limits | 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 | Unknown |
| Default snapshot | gpt-image-2.5-flare-2026-09-08 | Unknown |
| Effective bit width | Unknown | 1.58 bits per weight |
| Language model size | Unknown | 6.66 GiB |
| Model positioning | Fast, high-quality everyday image generation | Unknown |
| Quality settings | low, medium, high, xhigh, max, auto | Unknown |
| Supported API routes | v1/images/generations, v1/images/edits | Unknown |
| Unsupported API routes | 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 | Unknown |
| Weight format | Unknown | Ternary Q2_0 |
GPT-Image 2.5 Flare Capabilities
Ternary Bonsai 27B Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-Image 2.5 Flare vs Ternary Bonsai 27B FAQs
Is GPT-Image 2.5 Flare or Ternary Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-Image 2.5 Flare and Ternary Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
Only GPT-Image 2.5 Flare has a directly sourced input price: $5.00 per million tokens. Only GPT-Image 2.5 Flare has a directly sourced output price: $30.00 per million tokens.
Which has a larger context window, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
Neither model has a larger sourced context window in this comparison. GPT-Image 2.5 Flare is — and Ternary Bonsai 27B is 262K.
Which performs better in benchmarks, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-Image 2.5 Flare or Ternary Bonsai 27B be self-hosted?+
Ternary Bonsai 27B is the only model in this pair currently marked as self-hostable. GPT-Image 2.5 Flare is of unknown open-weight status; Ternary Bonsai 27B is open weight.
Can GPT-Image 2.5 Flare and Ternary Bonsai 27B understand images?+
GPT-Image 2.5 Flare is documented with image input; Ternary Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
Neither has a larger sourced maximum output. GPT-Image 2.5 Flare is — and Ternary Bonsai 27B is —.
Do GPT-Image 2.5 Flare and Ternary Bonsai 27B support reasoning and tool use?+
GPT-Image 2.5 Flare: image input. Ternary Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
GPT-Image 2.5 Flare has 1 sourced provider route; Ternary Bonsai 27B has 1, a tie.
Which offers better value, GPT-Image 2.5 Flare or Ternary Bonsai 27B?+
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.