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text model comparison

Claude Mythos 5.2 vs GPT-6 Cyber

Claude Mythos 5.2 and GPT-6 Cyber are both current text models, from Anthropic and OpenAI. Claude Mythos 5.2 is 60% cheaper per 1M input tokens than GPT-6 Cyber, $8 vs $20. GPT-6 Cyber has the larger context window, 1,050,000 vs 1,000,000 tokens.

Lower price per 1M input tokens
Claude Mythos 5.2$8 against $20
Longer context window
GPT-6 Cyber1.05M tokens against 1M tokens
Newer release
Claude Mythos 5.2Nov 9, 2026 against Nov 5, 2026

Data verified November 10, 2026 · Dataset 2026-11-10

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Side by side

Claude Mythos 5.2 and GPT-6 Cyber, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactClaude Mythos 5.2GPT-6 Cyber
Price
Price per 1M input tokens$8 (better)$20
Price per 1M output tokens$40 (better)$100
Specs
ProviderAnthropicOpenAI
Release dateNovember 9, 2026November 5, 2026
Accesslimited accesslimited access
Context window1,000,000 tokens1,050,000 tokens
Max output128,000 tokens128,000 tokens
Inputtext, imagetext, image
Outputtexttext

Charts

Against every current text model

Where Claude Mythos 5.2 and GPT-6 Cyber land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

No independent benchmark has scored either model yet, so the tiles rank their prices among the current models of their task.

Claude Mythos 5.2 and GPT-6 Cyber among the current text models, one row per benchmark, price and context window.

Price and context

Price per 1M input tokens

Claude Mythos 5.2:#53of 61

$8 · cheaper than 12%

GPT-6 Cyber:#61of 61

$20 · cheaper than 0%

Price per 1M output tokens

Claude Mythos 5.2:#53of 61

$40 · cheaper than 12%

GPT-6 Cyber:#61of 61

$100 · cheaper than 0%

Context window

Claude Mythos 5.2:#28of 70

1M tokens · longer than 23%

GPT-6 Cyber:#1of 70

1.05M tokens · longer than 86%

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

For 10M input and 2M output tokens, GPT-6 Cyber costs 2.5 times as much as Claude Mythos 5.2, at each provider's listed rates.

What Claude Mythos 5.2 and GPT-6 Cyber cost for the same work, at the rates each provider lists.
  • 10M input and 2M output tokens

    GPT-6 Cyber costs 2.5× as much

    Claude Mythos 5.2
    $160
    GPT-6 Cyber
    $400
  • The same, with 9M of the input tokens cached

    GPT-6 Cyber costs 2.7× as much

    Claude Mythos 5.2
    $89.80
    GPT-6 Cyber
    $238
Workload or rateClaude Mythos 5.2GPT-6 Cyber
Example workloads
10M input and 2M output tokens$160 (better)$400
The same, with 9M of the input tokens cached$89.80 (better)$238
The same, through the batch API$80Not listed
Other listed rates
1M input tokens, cached$0.20 (better)$2
1M input tokens, 5-minute cache write$10Not listed
1M input tokens, 1-hour cache write$16Not listed
1M input tokens, batch$4Not listed
1M output tokens, batch$20Not listed

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

Book the cost audit

Verdict

When to choose each

Claude Mythos 5.2

Where it leads

  • Lower input and output prices, $8 and $40 vs $20 and $100 per 1M tokens
  • Cheaper cached input, $0.20 vs $2 per 1M tokens
  • Batch pricing, $4 input and $20 output per 1M tokens

Best for

  • Vetted security teams finding, reproducing and fixing vulnerabilities
  • Dual-use research in security or biology that Claude Fable 5.2's safeguards block

Watch out for

  • Limited access: only organisations verified through Anthropic's programs, such as the Cyber Verification Program, can call it
  • No independent benchmark has scored it; every number for it comes from Anthropic

GPT-6 Cyber

Where it leads

  • Larger context window 1,050,000 vs 1,000,000 tokens

Best for

  • Security teams approved for Daybreak Red that develop and validate exploits in authorized tests
  • Vulnerability research and patch validation across large codebases such as browsers and kernels

Watch out for

  • Limited access: OpenAI is rolling it out through the API and Codex to select approved Daybreak Red customers first, with identity verification, single sign-on, multi-factor authentication and API IP allowlisting
  • OpenAI rates it Critical in cybersecurity under its Preparedness Framework, like GPT-6 Astra and up from High for GPT-5.6 Cyber, and adds checks that block high-risk activity against critical systems
  • It does not beat GPT-6 Astra at general coding (82.95% against 83.24% on OpenAI's internal ExpertSWE), and on Irregular's FrontierCyber it solved 90 of 288 challenges against 96 for Astra; no independent benchmark score is recorded here yet

From benchmark to production

Building on Claude Mythos 5.2 or GPT-6 Cyber?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150What the audit includes

FAQ

Claude Mythos 5.2 vs GPT-6 Cyber FAQ

Which is cheaper, Claude Mythos 5.2 or GPT-6 Cyber?

Claude Mythos 5.2 is 60% cheaper per 1M input tokens than GPT-6 Cyber, $8 vs $20. For 10M input and 2M output tokens, Claude Mythos 5.2 costs $160 and GPT-6 Cyber $400 at standard rates.

Which is cheaper with prompt caching, Claude Mythos 5.2 or GPT-6 Cyber?

Claude Mythos 5.2 charges $0.20 per 1M cached input tokens, 98% below its standard input rate, and GPT-6 Cyber $2, 90% below. With 9M of 10M input tokens cached and 2M output tokens, Claude Mythos 5.2 costs $89.80 and GPT-6 Cyber $238.

Which has the larger context window, Claude Mythos 5.2 or GPT-6 Cyber?

GPT-6 Cyber has the larger context window, 1,050,000 vs 1,000,000 tokens. Both return up to 128,000 tokens per response.

Production evaluation

Choosing between Claude Mythos 5.2 and GPT-6 Cyber?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty