GPT-5.4 Pro vs Bonsai Image Binary 4B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$30.00Openai · Sep 3, 2026Not reported
Output priceFrom · USD / 1M tokens$180.00Openai · Sep 3, 2026Not reported
Context windowMaximum documented tokens1,050KNot reported
Model facts checkedSep 3, 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-5.4 ProBonsai Image Binary 4B
DeveloperOpenAIPrismML
FamilyGpt 5 4Bonsai Image 4b
ModelGPT-5.4 ProBonsai Image Binary 4B
VersionGPT-5.4 ProBonsai Image Binary 4B
Lifecycleactiveactive
Released2026-03-052026-05-18
Knowledge cutoff2025-08-31Unknown
Input modalitiesText, ImageText
Output modalitiesTextImage
Context window1,050KUnknown
Total parametersUnknown4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessOpenai (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration
Base modelUnknownFLUX.2 Klein 4B
Default resolutionUnknown512 × 512
Transformer sizeUnknown0.93 GB
Weight formatUnknownBinary weights with FP16 group scales

GPT-5.4 Pro Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.4-pro

Bonsai Image Binary 4B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

GPT-5.4 Pro vs Bonsai Image Binary 4B FAQs

Is GPT-5.4 Pro or Bonsai Image Binary 4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.4 Pro and Bonsai Image Binary 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5.4 Pro or Bonsai Image Binary 4B?+

Only GPT-5.4 Pro has a directly sourced input price: $30.00 per million tokens. Only GPT-5.4 Pro has a directly sourced output price: $180.00 per million tokens.

Which has a larger context window, GPT-5.4 Pro or Bonsai Image Binary 4B?+

Neither model has a larger sourced context window in this comparison. GPT-5.4 Pro is 1,050K and Bonsai Image Binary 4B is —.

Which performs better in benchmarks, GPT-5.4 Pro or Bonsai Image Binary 4B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-5.4 Pro or Bonsai Image Binary 4B be self-hosted?+

Bonsai Image Binary 4B is the only model in this pair currently marked as self-hostable. GPT-5.4 Pro is not marked open weight; Bonsai Image Binary 4B is open weight.

Can GPT-5.4 Pro and Bonsai Image Binary 4B understand images?+

GPT-5.4 Pro is documented with image input; Bonsai Image Binary 4B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5.4 Pro or Bonsai Image Binary 4B?+

Neither has a larger sourced maximum output. GPT-5.4 Pro is 128K and Bonsai Image Binary 4B is —.

Do GPT-5.4 Pro and Bonsai Image Binary 4B support reasoning and tool use?+

GPT-5.4 Pro: reasoning, tool calling, and image input. Bonsai Image Binary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5.4 Pro or Bonsai Image Binary 4B?+

GPT-5.4 Pro has 2 sourced provider routes; Bonsai Image Binary 4B has 0, so GPT-5.4 Pro has broader tracked availability.

Which offers better value, GPT-5.4 Pro or Bonsai Image Binary 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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