GPT-5.6 Luna vs Inkling
At a Glance
| Compare |  GPT-5.6 LunaOpenAI | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #31 of 4652.7 score · 3/3 sources · complete | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #6 of 44$0.026 per LiveBench case | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #4 of 3864.8 score · 3/3 sources · complete | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Openai ↗ · Sep 3, 2026 | $0.95Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Openai ↗ · Sep 3, 2026 | $4.05Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,050K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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
| Benchmark | GPT-5.6 Luna | Inkling |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 90.67100% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max) | 79.5088% of row best · percent · Inkling |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 59.58100% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max) | 36.5361% of row best · percent · Inkling |
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.44100% of row best · score · GPT 5.6 Luna (xHigh); 95% CI [-1.27310649, 0.39719069]; sessions 29186; observations 2307801; rank 27 | -10.0290% of row best · score · Inkling; 95% CI [-10.93664189, -9.10513108]; sessions 42313; observations 1624204; rank 42 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,429.8999% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1425.11549148, 1434.66063238]; votes 28547; rank 86 | 1,439.68100% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 |
| LiveBench2026-06-25 · overall · leader | 77.05100% of row best · percent · gpt-5.6-luna-max · 21,799 output tokens / case | 76.4799% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.47100% of row best · points · GPT-5.6 Luna (ultra) · 17,605 output tokens / case | 79.4194% of row best · points · Inkling · 5,785 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 4 benchmark winsOverall lead | 1 benchmark win |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | GPT-5.6 Luna | Inkling |
|---|---|---|
| Developer | OpenAI | Thinking Machines Lab |
| Family | Gpt 5 6 | Inkling |
| Model | GPT-5.6 Luna | Inkling |
| Version | GPT-5.6 Luna | Inkling |
| Lifecycle | active | active |
| Released | Unknown | 2026-07-15 |
| Knowledge cutoff | 2026-02-16 | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,050K | 1,049K |
| Total parameters | Unknown | 975B |
| Active parameters | Unknown | 41B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, coding, generation, reasoning, tools, vision |
GPT-5.6 Luna Capabilities
Inkling Capabilities
Related Comparisons
All image 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 Inkling FAQs
Is GPT-5.6 Luna or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Luna and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Luna or Inkling?+
GPT-5.6 Luna is $0.20 and Inkling is $0.95 per million tokens, so GPT-5.6 Luna is cheaper on this metric. GPT-5.6 Luna is $1.20 and Inkling is $4.05 per million tokens, so GPT-5.6 Luna is cheaper on this metric.
Which has a larger context window, GPT-5.6 Luna or Inkling?+
GPT-5.6 Luna has the larger sourced context window. GPT-5.6 Luna supports 1,050K and Inkling supports 1,049K.
Which performs better in benchmarks, GPT-5.6 Luna or Inkling?+
GPT-5.6 Luna leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can GPT-5.6 Luna or Inkling be self-hosted?+
Inkling is the only model in this pair currently marked as self-hostable. GPT-5.6 Luna is not marked open weight; Inkling is open weight.
Can GPT-5.6 Luna and Inkling understand images?+
GPT-5.6 Luna is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.6 Luna or Inkling?+
Neither has a larger sourced maximum output. GPT-5.6 Luna is 128K and Inkling is —.
Do GPT-5.6 Luna and Inkling support reasoning and tool use?+
GPT-5.6 Luna: reasoning, tool calling, and image input. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.6 Luna or Inkling?+
GPT-5.6 Luna has 2 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, GPT-5.6 Luna or Inkling?+
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.