MolmoWeb 4B vs Kimi K2.6
At a Glance
| Compare |  MolmoWeb 4BAi2 |  Kimi K2.6Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #21 of 44$0.095 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.75Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.50Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 10K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 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 | Kimi-K2.6 |
|---|---|---|
| Developer | Ai2 | Moonshot AI |
| Family | Molmoweb | Kimi K2 6 |
| Model | MolmoWeb 4B | Kimi-K2.6 |
| Version | MolmoWeb 4B | Kimi-K2.6 |
| Lifecycle | active | active |
| Released | 2026-03-20 | 2026-04-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10K | 262K |
| Total parameters | 4.9B | 1T |
| Active parameters | Unknown | 32B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | No | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, computer-use, generation, tools, vision | chat, generation, reasoning, tools |
MolmoWeb 4B Capabilities
Kimi K2.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
MolmoWeb 4B vs Kimi K2.6 FAQs
Is MolmoWeb 4B or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoWeb 4B and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoWeb 4B or Kimi K2.6?+
Only Kimi K2.6 has a directly sourced input price: $0.75 per million tokens. Only Kimi K2.6 has a directly sourced output price: $3.50 per million tokens.
Which has a larger context window, MolmoWeb 4B or Kimi K2.6?+
Kimi K2.6 has the larger sourced context window. MolmoWeb 4B supports 10K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, MolmoWeb 4B or Kimi K2.6?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MolmoWeb 4B or Kimi K2.6 be self-hosted?+
Both models have the same recorded self-hosting status: supported. MolmoWeb 4B is open weight; Kimi K2.6 is open weight.
Can MolmoWeb 4B and Kimi K2.6 understand images?+
MolmoWeb 4B is documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoWeb 4B or Kimi K2.6?+
Neither has a larger sourced maximum output. MolmoWeb 4B is — and Kimi K2.6 is —.
Do MolmoWeb 4B and Kimi K2.6 support reasoning and tool use?+
MolmoWeb 4B: tool calling and image input. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoWeb 4B or Kimi K2.6?+
MolmoWeb 4B has 0 sourced provider routes; Kimi K2.6 has 5, so Kimi K2.6 has broader tracked availability.
Which offers better value, MolmoWeb 4B or Kimi K2.6?+
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.