ERNIE X1.1 vs Bonsai 4B

At a Glance

Compare
Bonsai 4BPrismML
Pricing and Limits
Context windowMaximum documented tokens66K33K
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

FieldERNIE X1.1Bonsai 4B
DeveloperBaiduPrismML
FamilyErnie X1Bonsai 4b
ModelERNIE X1.1Bonsai 4B
VersionERNIE X1.1Bonsai 4B
Lifecycleactiveactive
Released2025-09-262026-03-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K33K
Total parametersUnknown4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Unknown
Capabilitiesagents, chat, reasoning, search, toolschat, generation
Effective bit widthUnknown1 bit per weight
Weight sizeUnknown0.57 GB
Weight formatUnknownBinary Q1_0

ERNIE X1.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-x1.1

Bonsai 4B Capabilities

chatgeneration
Serving providers0
Canonical IDprism-ml/Bonsai-4B

Primary Evidence

Sources and Freshness

Questions

ERNIE X1.1 vs Bonsai 4B FAQs

Is ERNIE X1.1 or Bonsai 4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Bonsai 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE X1.1 or Bonsai 4B?+

Only ERNIE X1.1 has a directly sourced input price: $1.00 per million tokens. Only ERNIE X1.1 has a directly sourced output price: $4.00 per million tokens.

Which has a larger context window, ERNIE X1.1 or Bonsai 4B?+

ERNIE X1.1 has the larger sourced context window. ERNIE X1.1 supports 66K and Bonsai 4B supports 33K.

Which performs better in benchmarks, ERNIE X1.1 or Bonsai 4B?+

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

Can ERNIE X1.1 or Bonsai 4B be self-hosted?+

Bonsai 4B is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Bonsai 4B is open weight.

Can ERNIE X1.1 and Bonsai 4B understand images?+

ERNIE X1.1 is not documented with image input; Bonsai 4B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE X1.1 or Bonsai 4B?+

Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and Bonsai 4B is —.

Do ERNIE X1.1 and Bonsai 4B support reasoning and tool use?+

ERNIE X1.1: reasoning and tool calling. Bonsai 4B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE X1.1 or Bonsai 4B?+

ERNIE X1.1 has 1 sourced provider route; Bonsai 4B has 0, so ERNIE X1.1 has broader tracked availability.

Which offers better value, ERNIE X1.1 or Bonsai 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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