GPT-5.6 Luna vs Grok 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#31 of 4652.7 score · 3/3 sources · complete#21 of 4664.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#6 of 44$0.026 per LiveBench case#22 of 44$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#4 of 3864.8 score · 3/3 sources · complete#16 of 3856.7 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.20Openai · Sep 3, 2026$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$1.20Openai · Sep 3, 2026$6.00Xai · Sep 3, 2026
Context windowMaximum documented tokens1,050K500K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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

All benchmark results →
BenchmarkGPT-5.6 LunaGrok 4.6
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader90.67100% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max)87.5097% of row best · percent · Grok 4.6 (Medium)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader59.5889% of row best · percent · GPT-5.6 Luna 2026-07-30 (Max)67.08100% of row best · percent · Grok 4.6 (XHigh)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader-0.4498% of row best · score · GPT 5.6 Luna (xHigh); 95% CI [-1.27310649, 0.39719069]; sessions 29186; observations 2307801; rank 272.01100% of row best · score · Grok 4.6 (xHigh); 95% CI [0.96176804, 3.05247193]; sessions 22548; observations 2390552; rank 21
LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,456.92100% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1448.72029252, 1465.11301394]; votes 5766; rank 231,452.33100% of row best · rating · grok-4.6-high; 95% CI [1440.31399734, 1464.34557688]; votes 2258; rank 25
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,429.89100% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1425.11549148, 1434.66063238]; votes 28547; rank 861,429.86100% of row best · rating · grok-4.6-high; 95% CI [1424.03688750, 1435.69279464]; votes 15521; rank 87
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,258.5399% of row best · rating · gpt-5.6-luna-xhigh; 95% CI [1250.17799393, 1266.87249678]; votes 7793; rank 481,266.92100% of row best · rating · grok-4.6-high; 95% CI [1255.95335463, 1277.88558133]; votes 3632; rank 40
LiveBench2026-06-25 · overall · leader77.0594% of row best · percent · gpt-5.6-luna-max · 21,799 output tokens / case82.17100% of row best · percent · grok-4.6 · 16,154 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified84.4798% of row best · points · GPT-5.6 Luna (ultra) · 17,605 output tokens / case86.61100% of row best · points · Grok 4.6 · 15,575 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 3 ties1 benchmark win3 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIZ.aiMiniMaxDeepSeekOpenAIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed major-model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.050$0.100$0.500$1.006873798489Grok Build 0.1GLM 5.3 FlashDeepSeek V4.1 Flash (max)GPT-5.6 Sol (max)GPT-6 Astra (max)Claude Fable 5.1Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated major-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

Side-by-Side Facts

FieldGPT-5.6 LunaGrok 4.6
DeveloperOpenAIxAI
FamilyGpt 5 6Grok 4
ModelGPT-5.6 LunaGrok 4.6
VersionGPT-5.6 LunaGrok 4.6
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoff2026-02-162026-02-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,050K500K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

GPT-5.6 Luna Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-luna

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

GPT-5.6 Luna vs Grok 4.6 FAQs

Is GPT-5.6 Luna or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Luna and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5.6 Luna or Grok 4.6?+

GPT-5.6 Luna is $0.20 and Grok 4.6 is $2.00 per million tokens, so GPT-5.6 Luna is cheaper on this metric. GPT-5.6 Luna is $1.20 and Grok 4.6 is $6.00 per million tokens, so GPT-5.6 Luna is cheaper on this metric.

Which has a larger context window, GPT-5.6 Luna or Grok 4.6?+

GPT-5.6 Luna has the larger sourced context window. GPT-5.6 Luna supports 1,050K and Grok 4.6 supports 500K.

Which performs better in benchmarks, GPT-5.6 Luna or Grok 4.6?+

Grok 4.6 leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can GPT-5.6 Luna or Grok 4.6 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5.6 Luna is not marked open weight; Grok 4.6 is not marked open weight.

Can GPT-5.6 Luna and Grok 4.6 understand images?+

GPT-5.6 Luna is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5.6 Luna or Grok 4.6?+

Neither has a larger sourced maximum output. GPT-5.6 Luna is 128K and Grok 4.6 is —.

Do GPT-5.6 Luna and Grok 4.6 support reasoning and tool use?+

GPT-5.6 Luna: reasoning, tool calling, and image input. Grok 4.6: 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 Grok 4.6?+

GPT-5.6 Luna has 2 sourced provider routes; Grok 4.6 has 1, so GPT-5.6 Luna has broader tracked availability.

Which offers better value, GPT-5.6 Luna or Grok 4.6?+

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.

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