GPT-5.6 Luna vs Jev
At a Glance
| Compare |  GPT-5.6 LunaOpenAI |  JevTypeSafe |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #31 of 4652.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #6 of 44$0.026 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #4 of 3864.8 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Openai ↗ · Sep 3, 2026 | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Openai ↗ · Sep 3, 2026 | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | 1,050K | 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-5.6 Luna | Jev |
|---|---|---|
| Developer | OpenAI | TypeSafe |
| Family | Gpt 5 6 | Jev |
| Model | GPT-5.6 Luna | Jev |
| Version | GPT-5.6 Luna | Jev |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-15 |
| Knowledge cutoff | 2026-02-16 | Unknown |
| Input modalities | Text, Image | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | 1,050K | 64K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (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-5.6 Luna Capabilities
Jev Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
GPT-5.6 LunaOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-5.6 LunaOpenAI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
GPT-5.6 LunaOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-5.6 LunaOpenAI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
GPT-5.6 LunaOpenAI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
GPT-5.6 LunaOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.6 Luna vs Jev FAQs
Is GPT-5.6 Luna or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Luna and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Luna or Jev?+
GPT-5.6 Luna is $0.20 and Jev is $0.042 per million tokens, so Jev is cheaper on this metric. GPT-5.6 Luna is $1.20 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.
Which has a larger context window, GPT-5.6 Luna or Jev?+
GPT-5.6 Luna has the larger sourced context window. GPT-5.6 Luna supports 1,050K and Jev supports 64K.
Which performs better in benchmarks, GPT-5.6 Luna or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.6 Luna or Jev be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.6 Luna is not marked open weight; Jev is not marked open weight.
Can GPT-5.6 Luna and Jev understand images?+
GPT-5.6 Luna is 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-5.6 Luna or Jev?+
Neither has a larger sourced maximum output. GPT-5.6 Luna is 128K and Jev is —.
Do GPT-5.6 Luna and Jev support reasoning and tool use?+
GPT-5.6 Luna: reasoning, tool calling, and image input. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.6 Luna or Jev?+
GPT-5.6 Luna has 2 sourced provider routes; Jev has 1, so GPT-5.6 Luna has broader tracked availability.
Which offers better value, GPT-5.6 Luna 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.