Qwen3.8 2.4T A95B vs Granite 4.2 30B
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 21, 2026 | $0.16Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 21, 2026 | $0.65Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 262K | 131K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 | Qwen3.8-2.4T-A95B | Granite 4.2 30B |
|---|---|---|
| Developer | Qwen | IBM |
| Family | Qwen3 8 2 4t A95b | Granite 4 2 |
| Model | Qwen3.8-2.4T-A95B | Granite 4.2 30B |
| Version | Qwen3.8-2.4T-A95B | Granite 4.2 30B |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-25 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 2.4T | 29.3B |
| Active parameters | 95B | Unknown |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Qwen3.8 2.4T A95B Capabilities
Granite 4.2 30B Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Granite 4.2 30B FAQs
Is Qwen3.8 2.4T A95B or Granite 4.2 30B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Granite 4.2 30B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
Qwen3.8 2.4T A95B is $2.00 and Granite 4.2 30B is $0.16 per million tokens, so Granite 4.2 30B is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and Granite 4.2 30B is $0.65 per million tokens, so Granite 4.2 30B is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Granite 4.2 30B supports 131K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or Granite 4.2 30B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; Granite 4.2 30B is open weight.
Can Qwen3.8 2.4T A95B and Granite 4.2 30B understand images?+
Qwen3.8 2.4T A95B is not documented with image input; Granite 4.2 30B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Granite 4.2 30B is —.
Do Qwen3.8 2.4T A95B and Granite 4.2 30B support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Granite 4.2 30B: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Granite 4.2 30B has 1, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or Granite 4.2 30B?+
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.