Granite Vision 4.1 4B vs Qwen3.7 Max
At a Glance
| Compare | Qwen3.7 MaxQwen | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #13 of 44$0.057 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.475Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $4.425Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 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 | granite-vision-4.1-4b | Qwen3.7 Max |
|---|---|---|
| Developer | IBM | Qwen |
| Family | Granite Vision 4 1 4b | Qwen3 7 |
| Model | granite-vision-4.1-4b | Qwen3.7 Max |
| Version | granite-vision-4.1-4b | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | 2026-04-29 | 2026-05-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 4B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, generation, reasoning, structured_outputs, tools, vision |
Granite Vision 4.1 4B Capabilities
Qwen3.7 Max Capabilities
Primary Evidence
Sources and Freshness
Questions
Granite Vision 4.1 4B vs Qwen3.7 Max FAQs
Is Granite Vision 4.1 4B or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite Vision 4.1 4B and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite Vision 4.1 4B or Qwen3.7 Max?+
Only Qwen3.7 Max has a directly sourced input price: $1.475 per million tokens. Only Qwen3.7 Max has a directly sourced output price: $4.425 per million tokens.
Which has a larger context window, Granite Vision 4.1 4B or Qwen3.7 Max?+
Qwen3.7 Max has the larger sourced context window. Granite Vision 4.1 4B supports 131K and Qwen3.7 Max supports 1,000K.
Which performs better in benchmarks, Granite Vision 4.1 4B or Qwen3.7 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Granite Vision 4.1 4B or Qwen3.7 Max be self-hosted?+
Granite Vision 4.1 4B is the only model in this pair currently marked as self-hostable. Granite Vision 4.1 4B is open weight; Qwen3.7 Max is not marked open weight.
Can Granite Vision 4.1 4B and Qwen3.7 Max understand images?+
Granite Vision 4.1 4B is documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite Vision 4.1 4B or Qwen3.7 Max?+
Neither has a larger sourced maximum output. Granite Vision 4.1 4B is — and Qwen3.7 Max is 66K.
Do Granite Vision 4.1 4B and Qwen3.7 Max support reasoning and tool use?+
Granite Vision 4.1 4B: tool calling and image input. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Granite Vision 4.1 4B or Qwen3.7 Max?+
Granite Vision 4.1 4B has 0 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, Granite Vision 4.1 4B or Qwen3.7 Max?+
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.