# Claude Mythos vs Every Frontier Model: A 2026 Capability Map | Alher Tech > Claude Mythos compared to Opus 4.7, GPT-5.5, OpenAI o4, Gemini 3 Ultra, GPT-5.4 Codex, DeepSeek V4 and Grok 4 Heavy on capability, availability, price and ecosystem. - Canonical page: https://alhertech.com/en/claude-mythos/vs-frontier/ - Site: Alher Tech (custom software, AI agents and SEO engineering, https://alhertech.com/) - Contact: https://alhertech.com/en/contact/ --- If Mythos sits at the top of every shared benchmark, the practical question is: where does each competing frontier model still win? This page maps Mythos against Claude Opus 4.7, GPT-5.5, OpenAI o4, Gemini 3 Ultra, GPT-5.4 Codex, DeepSeek V4 and Grok 4 Heavy on the axes that actually drive procurement: capability, availability, price, modality, context, ecosystem. Updated: May 9, 2026 ## vs Claude Opus 4.7 Capability: Mythos wins everywhere. Availability: Opus 4.7 wins decisively: generally available across every cloud at 5× lower per-token price. For 99% of Anthropic-stack teams Opus 4.7 is the correct answer; reach for Mythos only if you have Glasswing access and a security-grade workload that justifies the price difference. ## vs GPT-5.5 Capability: Mythos leads SWE-bench Verified by ~30 points and GPQA by ~26 points. Modality: GPT-5.5 wins, with native audio in / out and a more mature realtime stack. Ecosystem: GPT-5.5 wins on tool-calling polish and breadth of integrations. For voice or multimodal consumer products, GPT-5.5 is the only realistic choice. For coding agents and reasoning where you can secure access, Mythos. ## vs OpenAI o4 Capability: Mythos leads o4 on GPQA Diamond (94.6 vs 87.1) and matches it on competition math. Latency: o4 thinks for seconds to minutes per reply; Mythos is faster on most workloads despite being a larger model because it does not run a separate thinking budget. Availability: o4 is generally available with no Glasswing barrier. For deep one-shot reasoning where you cannot get Mythos, o4 is the right answer. ## vs Gemini 3 Ultra Capability: Mythos leads on every shared benchmark. Context: Gemini 3 Ultra wins decisively: 3M tokens vs Mythos's 1M, with native video. For whole-movie analysis, 2000-page legal corpora and any workload that genuinely needs >1M tokens, Ultra is the correct pick even if Mythos is technically more capable on inputs that fit. Vertex AI integration is also a hard win for Ultra in Google-Cloud-heavy enterprises. ## vs GPT-5.4 Codex Capability: Mythos hits 98.7% HumanEval vs Codex's 95.5% and wins SWE-bench Verified by ~20+ points. Practical coding: Codex ships in a CLI today, integrates with Codex cloud, and costs roughly 3× less per token. For agencies and SaaS teams shipping production code this quarter, Codex remains the practical pick. For autonomous repo-wide refactors where SWE-bench reliability matters more than availability, Mythos is the right answer if you can get it. ## vs DeepSeek V4 Capability: Mythos leads V4 by 20+ points on GPQA and SWE-bench. License: V4 is MIT-licensed open-weights, self-hostable, and ships at ~14× lower input price. Data residency: V4 wins anywhere data sovereignty matters. For research-grade STEM at scale or self-hosted enterprise pipelines, V4 is the rational frontier-tier choice. Mythos is what you reach for when capability is the only axis that matters. ## vs Grok 4 Heavy Capability: Mythos beats Grok 4 Heavy by ~20 points on GPQA and is a generation ahead on SWE-bench. Realtime data: Grok wins, since direct X / Twitter grounding is something neither Mythos nor any other frontier model offers. For products that depend on live social context, Grok 4 Heavy is the only serious option; for everything else Grok is dominated by both Mythos (if you have access) and Opus 4.7 (if you do not). ## Decision matrix at a glance Want frontier-tier coding and you have Glasswing access? Mythos. Want frontier-tier coding without Glasswing access? GPT-5.4 Codex or Claude Opus 4.7. Want voice / multimodal consumer products? GPT-5.5. Want >1M tokens or whole-movie analysis? Gemini 3 Ultra. Want open-weights / data sovereignty? DeepSeek V4. Want realtime social grounding? Grok 4 Heavy. Want pure deliberate reasoning at the cheapest price tier? OpenAI o4-mini. ## Frequently asked questions ### Is Mythos always the right answer when capability matters most? Only if you have access. The Glasswing barrier means most teams cannot procure Mythos under any circumstances. Treat the "capability matters most" decision as a two-step: do you have Mythos access? If yes, default to Mythos. If no, the next-best option depends on the workload axis. ### Should I migrate existing pipelines from Opus 4.7 to Mythos? Almost never. Opus 4.7 is generally available, ships at 1/5th the price, and is the right level of capability for routine production workloads. Migrate to Mythos only when an evaluation shows the capability gap on your specific workload is large enough to justify the access friction and price multiple.