Bolmo 7B vs Claude Sonnet 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#24 of 4660.3 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#31 of 44$0.198 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#31 of 3847.3 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$3.00Anthropic · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$15.00Anthropic · Sep 3, 2026
Context windowMaximum documented tokens66K1,000K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 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

FieldBolmo 7BClaude Sonnet 4.6
DeveloperAi2Anthropic
FamilyBolmoClaude 4
ModelBolmo 7BClaude Sonnet 4.6
VersionBolmo 7BClaude Sonnet 4.6
Lifecycleactiveactive
Released2025-12-132026-02-17
Knowledge cutoff2024-12-012025-08-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window66K1,000K
Total parameters7.6BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableNoYes
Self-hostableYesNo
Provider accessUnknownAnthropic (Standard), Deepinfra (Standard)
Capabilitiesgenerationchat, generation, reasoning, structured_outputs, tools

Bolmo 7B Capabilities

generation
Serving providers0
Canonical IDallenai/Bolmo-7B

Claude Sonnet 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-sonnet-4-6

Primary Evidence

Sources and Freshness

Questions

Bolmo 7B vs Claude Sonnet 4.6 FAQs

Is Bolmo 7B or Claude Sonnet 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Bolmo 7B and Claude Sonnet 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Bolmo 7B or Claude Sonnet 4.6?+

Only Claude Sonnet 4.6 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.6 has a directly sourced output price: $15.00 per million tokens.

Which has a larger context window, Bolmo 7B or Claude Sonnet 4.6?+

Claude Sonnet 4.6 has the larger sourced context window. Bolmo 7B supports 66K and Claude Sonnet 4.6 supports 1,000K.

Which performs better in benchmarks, Bolmo 7B or Claude Sonnet 4.6?+

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

Can Bolmo 7B or Claude Sonnet 4.6 be self-hosted?+

Bolmo 7B is the only model in this pair currently marked as self-hostable. Bolmo 7B is open weight; Claude Sonnet 4.6 is not marked open weight.

Can Bolmo 7B and Claude Sonnet 4.6 understand images?+

Bolmo 7B is not documented with image input; Claude Sonnet 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Bolmo 7B or Claude Sonnet 4.6?+

Neither has a larger sourced maximum output. Bolmo 7B is — and Claude Sonnet 4.6 is 128K.

Do Bolmo 7B and Claude Sonnet 4.6 support reasoning and tool use?+

Bolmo 7B: none of these features are definitively sourced. Claude Sonnet 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Bolmo 7B or Claude Sonnet 4.6?+

Bolmo 7B has 0 sourced provider routes; Claude Sonnet 4.6 has 2, so Claude Sonnet 4.6 has broader tracked availability.

Which offers better value, Bolmo 7B or Claude Sonnet 4.6?+

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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