GPT-6.1 Sol vs Grok 4.7

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#5 of 5785.9 score · 3/3 sources · complete#11 of 5774.0 score · 2/3 sources · provisional · missing LMArena Text · full-core range 49.3–82.7
CostLower is better · Published-token output estimate#15 of 27$0.104 per LiveBench case#24 of 27$0.341 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9#5 of 2760.1 score · 3/3 sources · complete#20 of 2744.3 score · 2/3 sources · provisional · missing LMArena Text · full-core range 32.0–48.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Openai ↗ · Sep 29, 2026$2.00Xai ↗ · Sep 22, 2026
Output priceFrom · USD / 1M tokens$10.00Openai ↗ · Sep 29, 2026$6.00Xai ↗ · Sep 22, 2026
Context windowMaximum documented tokens1,050K500K
Model facts checkedSep 29, 2026View model evidence →Sep 22, 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-6.1 SolGrok 4.7
ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader98.50100% of row best · percent · GPT-6.1 Sol (XHigh)90.1792% of row best · percent · Grok 4.7 (High)
ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader94.17100% of row best · percent · GPT-6.1 Sol (Max)61.3965% of row best · percent · Grok 4.7 (XHigh)
LiveBench2026-06-25-90f8d44da965 · overall · leader86.14100% of row best · percent · gpt-6.1-sol-max · 10,375 output tokens / case82.2095% of row best · percent · grok-4.7-xhigh · 56,776 output tokens / case
ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified82.44100% of row best · points · GPT-6.1 Sol (max) · 21,221 output tokens / case79.5897% of row best · points · Grok 4.7 (high) · 45,964 output tokens / case
Overall ResultCounted from the protocol-matched rows above3 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.aiOpenAIMiniMaxDeepSeekMistral AIQwenGoogle 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 FlashGPT-6 Luna (max)DeepSeek V4.1 Flash (max)GPT-6.1 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-6.1 SolGrok 4.7
DeveloperOpenAIxAI
FamilyGpt 6Grok 4
ModelGPT-6.1 SolGrok 4.7
VersionGPT-6.1 SolGrok 4.7
Lifecycleactiveactive
Released2026-09-292026-09-21
Knowledge cutoff2026-04-30Unknown
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, computer-use, generation, reasoning, toolschat, generation, reasoning, tools
Data residencyUS, EUUnknown
Default snapshotgpt-6.1-solUnknown
Maximum input tokens922000Unknown
Multi-agentResponses API betaUnknown
Reasoning effortlow, medium, high, xhigh, maxUnknown
Regional processing premium10% where availableUnknown
Supported API routesv1/responses, v1/chat/completions, v1/batchUnknown
Supported toolsweb_search, file_search, image_generation, code_interpreter, hosted_shell, apply_patch, skills, computer_use, mcp, tool_searchUnknown
Tier 1 rate limits500 RPM; 500,000 TPMUnknown
Tier 2 rate limits5,000 RPM; 1,000,000 TPMUnknown
Tier 3 rate limits5,000 RPM; 2,000,000 TPMUnknown
Tier 4 rate limits10,000 RPM; 4,000,000 TPMUnknown
Tier 5 rate limits15,000 RPM; 40,000,000 TPMUnknown
Tool calling routeResponses API onlyUnknown

GPT-6.1 Sol Capabilities

chatcomputer-usegenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-6.1-sol

Grok 4.7 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.7

Primary Evidence

Sources and Freshness

Questions

GPT-6.1 Sol vs Grok 4.7 FAQs

Is GPT-6.1 Sol or Grok 4.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-6.1 Sol and Grok 4.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-6.1 Sol or Grok 4.7?+

GPT-6.1 Sol is $2.00 and Grok 4.7 is $2.00 per million tokens, so they are tied on this metric. GPT-6.1 Sol is $10.00 and Grok 4.7 is $6.00 per million tokens, so Grok 4.7 is cheaper on this metric.

Which has a larger context window, GPT-6.1 Sol or Grok 4.7?+

GPT-6.1 Sol has the larger sourced context window. GPT-6.1 Sol supports 1,050,000 tokens and Grok 4.7 supports 500,000 tokens.

Which performs better in benchmarks, GPT-6.1 Sol or Grok 4.7?+

GPT-6.1 Sol leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can GPT-6.1 Sol or Grok 4.7 be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. GPT-6.1 Sol is not marked open weight; Grok 4.7 is not marked open weight.

Can GPT-6.1 Sol and Grok 4.7 understand images?+

GPT-6.1 Sol is documented with image input; Grok 4.7 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-6.1 Sol or Grok 4.7?+

GPT-6.1 Sol has a sourced maximum output of 128,000 tokens; Grok 4.7's maximum output is not reported. A larger limit cannot be determined.

Do GPT-6.1 Sol and Grok 4.7 support reasoning and tool use?+

GPT-6.1 Sol: reasoning, tool calling, and image input. Grok 4.7: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-6.1 Sol or Grok 4.7?+

GPT-6.1 Sol has 2 sourced provider routes; Grok 4.7 has 1, so GPT-6.1 Sol has broader tracked availability.

Which offers better value, GPT-6.1 Sol or Grok 4.7?+

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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