Sonar Deep Research vs Bonsai 27B

At a Glance

Compare
Bonsai 27BPrismML
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Openrouter · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$8.00Openrouter · Sep 22, 2026Not reported
Context windowMaximum documented tokens128K262K
Model facts checkedAug 29, 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

FieldSonar Deep ResearchBonsai 27B
DeveloperPerplexityPrismML
FamilySonarBonsai 27b
ModelSonar Deep ResearchBonsai 27B
VersionSonar Deep ResearchBonsai 27B
Lifecycleactiveactive
ReleasedUnknown2026-07-04
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window128K262K
Total parametersUnknown27B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessOpenrouter (Standard), Perplexity (Standard)Unknown
Capabilitieschat, citations, reasoning, research, searchchat, generation, reasoning, tools, vision
Base modelUnknownQwen3.6 27B
Effective bit widthUnknown1 bit per weight
Language model sizeUnknown3.53 GiB
Weight formatUnknownBinary Q1_0

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Bonsai 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers0
Canonical IDprism-ml/Bonsai-27B

Primary Evidence

Sources and Freshness

Questions

Sonar Deep Research vs Bonsai 27B FAQs

Is Sonar Deep Research or Bonsai 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Sonar Deep Research and Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Sonar Deep Research or Bonsai 27B?+

Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.

Which has a larger context window, Sonar Deep Research or Bonsai 27B?+

Bonsai 27B has the larger sourced context window. Sonar Deep Research supports 128K and Bonsai 27B supports 262K.

Which performs better in benchmarks, Sonar Deep Research or Bonsai 27B?+

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

Can Sonar Deep Research or Bonsai 27B be self-hosted?+

Bonsai 27B is the only model in this pair currently marked as self-hostable. Sonar Deep Research is not marked open weight; Bonsai 27B is open weight.

Can Sonar Deep Research and Bonsai 27B understand images?+

Sonar Deep Research is not documented with image input; Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Sonar Deep Research or Bonsai 27B?+

Neither has a larger sourced maximum output. Sonar Deep Research is — and Bonsai 27B is —.

Do Sonar Deep Research and Bonsai 27B support reasoning and tool use?+

Sonar Deep Research: reasoning. Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Sonar Deep Research or Bonsai 27B?+

Sonar Deep Research has 2 sourced provider routes; Bonsai 27B has 0, so Sonar Deep Research has broader tracked availability.

Which offers better value, Sonar Deep Research or 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.

Send Feedback