Granite 4.2 30B vs gpt-oss-20b
Benchmark Performance
Available Benchmarks
| Benchmark | Granite 4.2 30B | gpt-oss-20b |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,362.55100% of row best · rating · granite-4.2-30b; 95% CI [1351.93384890, 1373.17607017]; votes 3287; rank 177 | 1,287.2794% of row best · rating · gpt-oss-20b; 95% CI [1280.87434855, 1293.66774302]; votes 10386; rank 242 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall lead | 0 benchmark wins |
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 | gpt-oss-20b |
|---|---|---|
| Developer | IBM | OpenAI |
| Family | Granite 4 2 | Gpt Oss |
| Model | Granite 4.2 30B | gpt-oss-20b |
| Version | Granite 4.2 30B | gpt-oss-20b |
| Lifecycle | active | active |
| Released | 2026-08-25 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 29.3B | 20.9B |
| Active parameters | Unknown | 3.6B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard) | Deepinfra (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
15 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Granite 4.2 30B Capabilities
gpt-oss-20b 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 gpt-oss-20b FAQs
Is Granite 4.2 30B or gpt-oss-20b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 30B and gpt-oss-20b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite 4.2 30B or gpt-oss-20b?+
Granite 4.2 30B is $0.16 and gpt-oss-20b is $0.030 per million tokens, so gpt-oss-20b is cheaper on this metric. Granite 4.2 30B is $0.65 and gpt-oss-20b is $0.13 per million tokens, so gpt-oss-20b is cheaper on this metric.
Which has a larger context window, Granite 4.2 30B or gpt-oss-20b?+
Neither model has a larger sourced context window in this comparison. Granite 4.2 30B is 131K and gpt-oss-20b is 131K.
Which performs better in benchmarks, Granite 4.2 30B or gpt-oss-20b?+
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 gpt-oss-20b be self-hosted?+
Both models have the same recorded self-hosting status: supported. Granite 4.2 30B is open weight; gpt-oss-20b is open weight.
Can Granite 4.2 30B and gpt-oss-20b understand images?+
Granite 4.2 30B is not documented with image input; gpt-oss-20b is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite 4.2 30B or gpt-oss-20b?+
Neither has a larger sourced maximum output. Granite 4.2 30B is — and gpt-oss-20b is —.
Do Granite 4.2 30B and gpt-oss-20b support reasoning and tool use?+
Granite 4.2 30B: reasoning and tool calling. gpt-oss-20b: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Granite 4.2 30B or gpt-oss-20b?+
Granite 4.2 30B has 1 sourced provider route; gpt-oss-20b has 5, so gpt-oss-20b has broader tracked availability.
Which offers better value, Granite 4.2 30B or gpt-oss-20b?+
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.