Devstral 2 123B Instruct 2512 vs Bonsai 27B

At a Glance

Compare
Bonsai 27BPrismML
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.44Openrouter · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$2.20Openrouter · Aug 29, 2026Not reported
Context windowMaximum documented tokens262K262K
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

FieldDevstral-2-123B-Instruct-2512Bonsai 27B
DeveloperMistral AIPrismML
FamilyDevstral 2 123b Instruct 2512Bonsai 27b
ModelDevstral-2-123B-Instruct-2512Bonsai 27B
VersionDevstral-2-123B-Instruct-2512Bonsai 27B
Lifecycleactiveactive
ReleasedUnknown2026-07-04
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K262K
Total parameters125B27B
Active parametersUnknownUnknown
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

Devstral 2 123B Instruct 2512 Capabilities

chatgenerationtools
Serving providers1
Canonical IDmistralai/Devstral-2-123B-Instruct-2512

Bonsai 27B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Devstral 2 123B Instruct 2512 vs Bonsai 27B FAQs

Is Devstral 2 123B Instruct 2512 or Bonsai 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Devstral 2 123B Instruct 2512 and Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Devstral 2 123B Instruct 2512 or Bonsai 27B?+

Only Devstral 2 123B Instruct 2512 has a directly sourced input price: $0.44 per million tokens. Only Devstral 2 123B Instruct 2512 has a directly sourced output price: $2.20 per million tokens.

Which has a larger context window, Devstral 2 123B Instruct 2512 or Bonsai 27B?+

Neither model has a larger sourced context window in this comparison. Devstral 2 123B Instruct 2512 is 262K and Bonsai 27B is 262K.

Which performs better in benchmarks, Devstral 2 123B Instruct 2512 or Bonsai 27B?+

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

Can Devstral 2 123B Instruct 2512 or Bonsai 27B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Devstral 2 123B Instruct 2512 is open weight; Bonsai 27B is open weight.

Can Devstral 2 123B Instruct 2512 and Bonsai 27B understand images?+

Devstral 2 123B Instruct 2512 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, Devstral 2 123B Instruct 2512 or Bonsai 27B?+

Neither has a larger sourced maximum output. Devstral 2 123B Instruct 2512 is — and Bonsai 27B is —.

Do Devstral 2 123B Instruct 2512 and Bonsai 27B support reasoning and tool use?+

Devstral 2 123B Instruct 2512: tool calling. Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Devstral 2 123B Instruct 2512 or Bonsai 27B?+

Devstral 2 123B Instruct 2512 has 1 sourced provider route; Bonsai 27B has 0, so Devstral 2 123B Instruct 2512 has broader tracked availability.

Which offers better value, Devstral 2 123B Instruct 2512 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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