GPT-5.6 Terra vs Grok 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#13 of 4674.9 score · 3/3 sources · complete#21 of 4664.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#35 of 44$0.266 per LiveBench case#22 of 44$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#23 of 3851.5 score · 3/3 sources · complete#16 of 3856.7 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Openai · Sep 3, 2026$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$12.00Openai · 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 TerraGrok 4.6
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader96.50100% of row best · percent · GPT-5.6 Terra (Max)87.5091% of row best · percent · Grok 4.6 (Medium)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader83.90100% of row best · percent · GPT-5.6 Terra (Max)67.0880% of row best · percent · Grok 4.6 (XHigh)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · statistical tie1.4499% of row best · score · GPT 5.6 Terra (xHigh); 95% CI [0.32735411, 2.55262103]; sessions 20301; observations 1231027; rank 232.01100% 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 tie1,471.58100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1463.31179298, 1479.85049651]; votes 5787; rank 131,452.3399% 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 · leader1,446.22100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1441.41414497, 1451.02563541]; votes 28119; rank 521,429.8699% 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 tie1,269.90100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1261.54272100, 1278.25950723]; votes 7726; rank 361,266.92100% of row best · rating · grok-4.6-high; 95% CI [1255.95335463, 1277.88558133]; votes 3632; rank 40
LiveBench2026-06-25 · overall · leader82.31100% of row best · percent · gpt-5.6-terra-max · 22,145 output tokens / case82.17100% of row best · percent · grok-4.6 · 16,154 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified86.39100% of row best · points · GPT-5.6 Terra (ultra) · 11,336 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 ties4 benchmark winsOverall lead0 benchmark wins

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 TerraGrok 4.6
DeveloperOpenAIxAI
FamilyGpt 5 6Grok 4
ModelGPT-5.6 TerraGrok 4.6
VersionGPT-5.6 TerraGrok 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 Terra Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-terra

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

GPT-5.6 Terra vs Grok 4.6 FAQs

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

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Terra 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 Terra or Grok 4.6?+

GPT-5.6 Terra is $2.00 and Grok 4.6 is $2.00 per million tokens, so they are tied on this metric. GPT-5.6 Terra is $12.00 and Grok 4.6 is $6.00 per million tokens, so Grok 4.6 is cheaper on this metric.

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

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

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

GPT-5.6 Terra 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 Terra or Grok 4.6 be self-hosted?+

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

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

GPT-5.6 Terra 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 Terra or Grok 4.6?+

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

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

GPT-5.6 Terra: 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 Terra or Grok 4.6?+

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

Which offers better value, GPT-5.6 Terra 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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