Granite 4.2 30B vs Qwen3.7 Plus
Benchmark Performance
Available Benchmarks
| Benchmark | Granite 4.2 30B | Qwen3.7-Plus |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,362.5594% of row best · rating · granite-4.2-30b; 95% CI [1351.93384890, 1373.17607017]; votes 3287; rank 177 | 1,453.70100% of row best · rating · qwen3.7-plus; 95% CI [1449.21174793, 1458.19774266]; votes 37854; rank 36 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 1 benchmark winOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Granite 4.2 30B | Qwen3.7-Plus |
|---|---|---|
| Developer | IBM | Qwen |
| Family | Granite 4 2 | Qwen3 7 Plus |
| Model | Granite 4.2 30B | Qwen3.7-Plus |
| Version | Granite 4.2 30B | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2026-08-25 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 29.3B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard) | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Granite 4.2 30B Capabilities
Qwen3.7 Plus Capabilities
Internal Comparison Graph
Related Comparisons
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| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Granite 4.2 30B vs Qwen3.7 Plus FAQs
Is Granite 4.2 30B or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 30B and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite 4.2 30B or Qwen3.7 Plus?+
Granite 4.2 30B is $0.16 and Qwen3.7 Plus is $0.32 per million tokens, so Granite 4.2 30B is cheaper on this metric. Granite 4.2 30B is $0.65 and Qwen3.7 Plus is $1.28 per million tokens, so Granite 4.2 30B is cheaper on this metric.
Which has a larger context window, Granite 4.2 30B or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced context window. Granite 4.2 30B supports 131K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, Granite 4.2 30B or Qwen3.7 Plus?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Granite 4.2 30B or Qwen3.7 Plus be self-hosted?+
Granite 4.2 30B is the only model in this pair currently marked as self-hostable. Granite 4.2 30B is open weight; Qwen3.7 Plus is not marked open weight.
Can Granite 4.2 30B and Qwen3.7 Plus understand images?+
Granite 4.2 30B is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite 4.2 30B or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. Granite 4.2 30B is — and Qwen3.7 Plus is 131K.
Do Granite 4.2 30B and Qwen3.7 Plus support reasoning and tool use?+
Granite 4.2 30B: reasoning and tool calling. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Granite 4.2 30B or Qwen3.7 Plus?+
Granite 4.2 30B has 1 sourced provider route; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, Granite 4.2 30B or Qwen3.7 Plus?+
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.