gpt-oss-120b vs Jev
At a Glance
| Compare |  gpt-oss-120bOpenAI |  JevTypeSafe |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.037Deepinfra ↗ · Sep 22, 2026 | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | $0.17Deepinfra ↗ · Sep 22, 2026 | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | 131K | 64K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 17, 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 | gpt-oss-120b | Jev |
|---|---|---|
| Developer | OpenAI | TypeSafe |
| Family | Gpt Oss 120b | Jev |
| Model | gpt-oss-120b | Jev |
| Version | gpt-oss-120b | Jev |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | 131K | 64K |
| Total parameters | 116.8B | Unknown |
| Active parameters | 5.1B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) | TypeSafe (Standard) |
| Capabilities | chat, generation, reasoning, tools | calibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions |
| Maximum Choice cardinality | Unknown | 255 options |
| Default request rate limit | Unknown | 1200 requests per minute |
| State plus longest question limit | Unknown | 32000 tokens |
| Combined state and questions limit | Unknown | 64000 tokens |
| Default token rate limit | Unknown | 250000 tokens per second |
gpt-oss-120b Capabilities
Jev Capabilities
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Primary Evidence
Sources and Freshness
Questions
gpt-oss-120b vs Jev FAQs
Is gpt-oss-120b or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both gpt-oss-120b and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, gpt-oss-120b or Jev?+
gpt-oss-120b is $0.037 and Jev is $0.042 per million tokens, so gpt-oss-120b is cheaper on this metric. gpt-oss-120b is $0.17 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.
Which has a larger context window, gpt-oss-120b or Jev?+
gpt-oss-120b has the larger sourced context window. gpt-oss-120b supports 131K and Jev supports 64K.
Which performs better in benchmarks, gpt-oss-120b or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can gpt-oss-120b or Jev be self-hosted?+
gpt-oss-120b is the only model in this pair currently marked as self-hostable. gpt-oss-120b is open weight; Jev is not marked open weight.
Can gpt-oss-120b and Jev understand images?+
gpt-oss-120b is not documented with image input; Jev is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, gpt-oss-120b or Jev?+
Neither has a larger sourced maximum output. gpt-oss-120b is — and Jev is —.
Do gpt-oss-120b and Jev support reasoning and tool use?+
gpt-oss-120b: reasoning and tool calling. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, gpt-oss-120b or Jev?+
gpt-oss-120b has 7 sourced provider routes; Jev has 1, so gpt-oss-120b has broader tracked availability.
Which offers better value, gpt-oss-120b or Jev?+
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.