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GPT-Image 2.5 Flare vs Bonsai Image Ternary 4B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Openai ↗ · Sep 9, 2026Not reported
Output priceFrom · USD / 1M tokens$30.00Openai ↗ · Sep 9, 2026Not reported
Context windowMaximum documented tokensNot reportedNot reported
Model facts checkedSep 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGPT-Image-2.5 FlareBonsai Image Ternary 4B
DeveloperOpenAIPrismML
FamilyGpt Image 2 5Bonsai Image 4b
ModelGPT-Image-2.5 FlareBonsai Image Ternary 4B
VersionGPT-Image-2.5 FlareBonsai Image Ternary 4B
Lifecycleactiveactive
Released2026-09-082026-05-21
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesImageImage
Context windowUnknownUnknown
Total parametersUnknown4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsUnknownYes
API availableYesNo
Self-hostableUnknownYes
Provider accessOpenai (Standard)Unknown
Capabilitiesimage-editing, image-generation, inpaintinggeneration
Base modelUnknownFLUX.2 Klein 4B
Default usage-tier rate limitsTier 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 IPMUnknown
Default resolutionUnknown512 × 512
Default snapshotgpt-image-2.5-flare-2026-09-08Unknown
Model positioningFast, high-quality everyday image generationUnknown
Quality settingslow, medium, high, xhigh, max, autoUnknown
Supported API routesv1/images/generations, v1/images/editsUnknown
Transformer sizeUnknown1.21 GB
Unsupported API routesv1/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/videosUnknown
Weight formatUnknownTernary weights with FP16 group scales

GPT-Image 2.5 Flare Capabilities

image-editingimage-generationinpainting
Serving providers1
Canonical IDopenai/gpt-image-2.5-flare

Bonsai Image Ternary 4B Capabilities

generation
Serving providers0
Canonical IDprism-ml/Bonsai-Image-Ternary-4B

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Primary Evidence

Sources and Freshness

GPT-Image-2.5 Flare Model | OpenAI APIOpenAI · observed Sep 9, 2026Bonsai Image 4B | PrismML DocsPrismML · observed Sep 18, 2026

Questions

GPT-Image 2.5 Flare vs Bonsai Image Ternary 4B FAQs

Is GPT-Image 2.5 Flare or Bonsai Image Ternary 4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-Image 2.5 Flare and Bonsai Image Ternary 4B, 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 Bonsai Image Ternary 4B?+

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 Bonsai Image Ternary 4B?+

Neither model has a larger sourced context window in this comparison. GPT-Image 2.5 Flare is — and Bonsai Image Ternary 4B is —.

Which performs better in benchmarks, GPT-Image 2.5 Flare or Bonsai Image Ternary 4B?+

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 Bonsai Image Ternary 4B be self-hosted?+

Bonsai Image Ternary 4B is the only model in this pair currently marked as self-hostable. GPT-Image 2.5 Flare is of unknown open-weight status; Bonsai Image Ternary 4B is open weight.

Can GPT-Image 2.5 Flare and Bonsai Image Ternary 4B understand images?+

GPT-Image 2.5 Flare is documented with image input; Bonsai Image Ternary 4B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-Image 2.5 Flare or Bonsai Image Ternary 4B?+

Neither has a larger sourced maximum output. GPT-Image 2.5 Flare is — and Bonsai Image Ternary 4B is —.

Do GPT-Image 2.5 Flare and Bonsai Image Ternary 4B support reasoning and tool use?+

GPT-Image 2.5 Flare: image input. Bonsai Image Ternary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-Image 2.5 Flare or Bonsai Image Ternary 4B?+

GPT-Image 2.5 Flare has 1 sourced provider route; Bonsai Image Ternary 4B has 0, so GPT-Image 2.5 Flare has broader tracked availability.

Which offers better value, GPT-Image 2.5 Flare or Bonsai Image Ternary 4B?+

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.

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