GPT-6 Astra vs Grok Build 0.1

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#6 of 4684.4 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#41 of 44$0.520 per LiveBench case#1 of 44$0.0020 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#27 of 3849.2 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Openai · Sep 4, 2026$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$50.00Openai · Sep 4, 2026$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokens1,050K256K
Model facts checkedSep 4, 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

All benchmark results →
BenchmarkGPT-6 AstraGrok Build 0.1
LiveBench2026-06-25 · overall · leader86.47100% of row best · percent · gpt-6-astra-max · 10,407 output tokens / case71.0982% of row best · percent · grok-build-0.1 · 980 output tokens / case
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo overall winner

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-6 AstraGrok Build 0.1
DeveloperOpenAIxAI
FamilyGpt 6Grok Build
ModelGPT-6 AstraGrok Build 0.1
VersionGPT-6 AstraGrok Build 0.1
Lifecycleactivepreview
Released2026-09-032026-05-29
Knowledge cutoff2026-04-30Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,050K256K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Xai (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, toolschat, generation, reasoning, structured_outputs, tools

GPT-6 Astra Capabilities

chatcomputer-usegenerationreasoningresearchtools
Serving providers2
Canonical IDopenai/gpt-6-astra

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

GPT-6 Astra vs Grok Build 0.1 FAQs

Is GPT-6 Astra or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-6 Astra and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-6 Astra or Grok Build 0.1?+

GPT-6 Astra is $10.00 and Grok Build 0.1 is $1.00 per million tokens, so Grok Build 0.1 is cheaper on this metric. GPT-6 Astra is $50.00 and Grok Build 0.1 is $2.00 per million tokens, so Grok Build 0.1 is cheaper on this metric.

Which has a larger context window, GPT-6 Astra or Grok Build 0.1?+

GPT-6 Astra has the larger sourced context window. GPT-6 Astra supports 1,050K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, GPT-6 Astra or Grok Build 0.1?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-6 Astra or Grok Build 0.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-6 Astra is not marked open weight; Grok Build 0.1 is not marked open weight.

Can GPT-6 Astra and Grok Build 0.1 understand images?+

GPT-6 Astra is documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-6 Astra or Grok Build 0.1?+

Neither has a larger sourced maximum output. GPT-6 Astra is 128K and Grok Build 0.1 is —.

Do GPT-6 Astra and Grok Build 0.1 support reasoning and tool use?+

GPT-6 Astra: reasoning, tool calling, and image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-6 Astra or Grok Build 0.1?+

GPT-6 Astra has 2 sourced provider routes; Grok Build 0.1 has 1, so GPT-6 Astra has broader tracked availability.

Which offers better value, GPT-6 Astra or Grok Build 0.1?+

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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