Llama 4 Maverick 17B 128E Instruct vs Bonsai 27B

At a Glance

Compare
Bonsai 27BPrismML
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.1875Openrouter · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$0.6525Openrouter · Sep 22, 2026Not reported
Context windowMaximum documented tokens1,000K262K
Model facts checkedAug 28, 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

FieldLlama-4-Maverick-17B-128E-InstructBonsai 27B
DeveloperMetaPrismML
FamilyLlama 4 Maverick 17b 128e InstructBonsai 27b
ModelLlama-4-Maverick-17B-128E-InstructBonsai 27B
VersionLlama-4-Maverick-17B-128E-InstructBonsai 27B
Lifecycleactiveactive
Released2025-04-052026-07-04
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K262K
Total parameters401.6B27B
Active parameters17BUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessOpenrouter (Standard)Unknown
Capabilitieschat, generation, toolschat, generation, reasoning, tools, vision
Base modelUnknownQwen3.6 27B
Effective bit widthUnknown1 bit per weight
Language model sizeUnknown3.53 GiB
Weight formatUnknownBinary Q1_0

Llama 4 Maverick 17B 128E Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-4-Maverick-17B-128E-Instruct

Bonsai 27B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Llama 4 Maverick 17B 128E Instruct vs Bonsai 27B FAQs

Is Llama 4 Maverick 17B 128E Instruct or Bonsai 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 4 Maverick 17B 128E Instruct or Bonsai 27B?+

Only Llama 4 Maverick 17B 128E Instruct has a directly sourced input price: $0.1875 per million tokens. Only Llama 4 Maverick 17B 128E Instruct has a directly sourced output price: $0.6525 per million tokens.

Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or Bonsai 27B?+

Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and Bonsai 27B supports 262K.

Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or Bonsai 27B?+

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

Can Llama 4 Maverick 17B 128E Instruct or Bonsai 27B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Llama 4 Maverick 17B 128E Instruct is open weight; Bonsai 27B is open weight.

Can Llama 4 Maverick 17B 128E Instruct and Bonsai 27B understand images?+

Llama 4 Maverick 17B 128E Instruct is documented with image input; Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 4 Maverick 17B 128E Instruct or Bonsai 27B?+

Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and Bonsai 27B is —.

Do Llama 4 Maverick 17B 128E Instruct and Bonsai 27B support reasoning and tool use?+

Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 4 Maverick 17B 128E Instruct or Bonsai 27B?+

Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; Bonsai 27B has 0, so Llama 4 Maverick 17B 128E Instruct has broader tracked availability.

Which offers better value, Llama 4 Maverick 17B 128E Instruct 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.

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