Released August 12, 2026, succeeding Grok 4.5. Long-context billing is a cliff, not a ramp: at 200K tokens and above the whole request is charged at $4/$12. DeepSWE 65.9%, CursorBench 3.2 70.8%, FrontierCode 1.1 Extended 61.3%, Terminal-Bench 3.0 26.5%, APEX-Agents 57.5%.
Roughly half the turns of competing models on agent tasks — real cost per completed task lands well below the sticker price
88.4% on Terminal-Bench 2.1 and 87.0% on VulcanBench v3
Artificial Analysis Intelligence Index of 61, 4th overall and within reach of Claude Opus 5
Weaknesses
No published SWE-bench Verified or SWE-bench Pro figure, so it cannot be compared directly on the standard coding leaderboard
GPT-5.6 Sol Max beats it on DeepSWE v1.1 and Terminal-Bench 3.0
Prompts of 200K tokens or more are billed at $4/$12 across the entire request, not just the overage
Real-world use cases
What people actually use Grok 4.6 for.
Long-horizon research agents that work a topic across many sequential steps
Working through an unfamiliar codebase over an extended agent session
Interactive and visual work where turn count drives the real bill
How Grok 4.6 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), Grok 4.6 runs about 87% cheaper per token, gives up 2.1x on context and answers faster. Take Grok 4.6 unless you specifically need what GPT-6 Astra does better.
vs GPT-5.5 — Against GPT-5.5 (OpenAI), Grok 4.6 runs about 77% cheaper per token, gives up 2x on context and answers faster. Take Grok 4.6 unless you specifically need what GPT-5.5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Grok 4.6 runs about 87% cheaper per token, gives up 2x on context and answers faster. Take Grok 4.6 unless you specifically need what Claude Fable 5.1 does better.
Price History
Grok 4.6 pricing over time
→0% since Sep 1
7 data points · tracked daily since Sep 1, 2026
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Start using Grok 4.6
Long-running agents and multi-step codebase work. Start free — no card required.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
Verdict
Best OpenAI flagship for agentic coding, research, and computer-use work.
Quality score
94%
Pricing
$5.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Grok 4.6 costs $2 per million input tokens and $6 per million output tokens on the API, with cached input at $0.5 per million. A month of 10M input and 2M output tokens runs about $32.00 at list price, before any batch or caching discounts.
What is the context window of Grok 4.6?
Grok 4.6 has a 500k tokens context window, with up to 500k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is Grok 4.6 best for?
Grok 4.6 is best for long-running agents and multi-step codebase work. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
When should I avoid Grok 4.6?
You need a published SWE-bench score to justify the pick, or your prompts routinely cross 200K tokens where the price doubles.
What is a cheaper alternative to Grok 4.6?
Grok 4.5 (xAI) at $2.00/1M/1M input against Grok 4.6's $2.00/1M/1M. Best cost-per-solved-task coding agent — efficiency over ceiling. Compare it first if Grok 4.6's pricing is the thing stopping you.
What is a faster alternative to Grok 4.6?
GPT-6 Astra — deliberate against Grok 4.6's fast, with 1.1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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