MolmoWeb 4B vs Claude Opus 4.6
At a Glance
| Compare |  MolmoWeb 4BAi2 | Claude Opus 4.6Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #12 of 4676.2 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #33 of 44$0.241 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #19 of 3853.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $5.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $25.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 10K | 1,000K |
| Model facts checked | Sep 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
Side-by-Side Facts
| Field | MolmoWeb 4B | Claude Opus 4.6 |
|---|---|---|
| Developer | Ai2 | Anthropic |
| Family | Molmoweb | Claude 4 |
| Model | MolmoWeb 4B | Claude Opus 4.6 |
| Version | MolmoWeb 4B | Claude Opus 4.6 |
| Lifecycle | active | active |
| Released | 2026-03-20 | 2026-02-05 |
| Knowledge cutoff | Unknown | 2025-05-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10K | 1,000K |
| Total parameters | 4.9B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | No | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Anthropic (Standard) |
| Capabilities | chat, computer-use, generation, tools, vision | chat, generation, reasoning, structured_outputs, tools |
MolmoWeb 4B Capabilities
Claude Opus 4.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
MolmoWeb 4B vs Claude Opus 4.6 FAQs
Is MolmoWeb 4B or Claude Opus 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoWeb 4B and Claude Opus 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoWeb 4B or Claude Opus 4.6?+
Only Claude Opus 4.6 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.6 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, MolmoWeb 4B or Claude Opus 4.6?+
Claude Opus 4.6 has the larger sourced context window. MolmoWeb 4B supports 10K and Claude Opus 4.6 supports 1,000K.
Which performs better in benchmarks, MolmoWeb 4B or Claude Opus 4.6?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MolmoWeb 4B or Claude Opus 4.6 be self-hosted?+
MolmoWeb 4B is the only model in this pair currently marked as self-hostable. MolmoWeb 4B is open weight; Claude Opus 4.6 is not marked open weight.
Can MolmoWeb 4B and Claude Opus 4.6 understand images?+
MolmoWeb 4B is documented with image input; Claude Opus 4.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoWeb 4B or Claude Opus 4.6?+
Neither has a larger sourced maximum output. MolmoWeb 4B is — and Claude Opus 4.6 is 128K.
Do MolmoWeb 4B and Claude Opus 4.6 support reasoning and tool use?+
MolmoWeb 4B: tool calling and image input. Claude Opus 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoWeb 4B or Claude Opus 4.6?+
MolmoWeb 4B has 0 sourced provider routes; Claude Opus 4.6 has 1, so Claude Opus 4.6 has broader tracked availability.
Which offers better value, MolmoWeb 4B or Claude Opus 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.