Claude Mythos Preview logo
C
6.5/10

Claude Mythos Preview

VS
Gemma 4 (Google) logoOur pick
A
8.3/10

Gemma 4 (Google)

Claude Mythos Preview vs Gemma 4 (Google)

Tier-list head-to-head. Gemma 4 (Google) takes the A-tier slot — here's the breakdown.

Last reviewed April 20, 2026· sweep-fresh

Spec sheet

At a glance

 Claude Mythos Preview logoClaude Mythos PreviewGemma 4 (Google) logoGemma 4 (Google)
TierC-tierA-tierwin
Overall score6.5 / 108.3 / 10win
Free tierNoYeswin
Starting priceInvite only$0
Best forPartner organizations in Project Glasswing doing cybersecurity research, defensive red-teaming, threat inte…Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune.
Last reviewed2026-04-202026-04-19

Head-to-head

Score showdown

Rated 1-10 on the same rubric across all 130 tools we cover.

Ease of use+5.0 Gemma 4 (Google)
Claude Mythos Preview
2.0
Gemma 4 (Google)
7.0
Output quality+2.0 Claude Mythos Preview
Claude Mythos Preview
10.0
Gemma 4 (Google)
8.0
Value+5.0 Gemma 4 (Google)
Claude Mythos Preview
5.0
Gemma 4 (Google)
10.0
Features+1.0 Claude Mythos Preview
Claude Mythos Preview
9.0
Gemma 4 (Google)
8.0
Overall+1.8 Gemma 4 (Google)
Claude Mythos Preview
6.5
Gemma 4 (Google)
8.3

Vibe check

Personality & tone

How each tool actually sounds when you talk to it.

Claude Mythos Preview

The gated red-team specialist

Tone
When Anthropic does publish Mythos outputs (in sanitized research reports), the voice is careful, technically dense, and deliberately unperformed -- much more 'senior security researcher writing an internal memo' than Claude Opus's conversational style.
Quirks
Mythos is tuned to produce its cybersecurity reasoning with extensive show-your-work traces. Anthropic publishes some outputs with full CoT visible as evidence of capability claims. Outside of security tasks, the model reportedly sounds much like Opus 4.6 / 4.7 -- Anthropic hasn't published a distinct general-purpose voice for Mythos.
Gemma 4 (Google)

The compact Google cousin

Tone
Similar corporate-Google tone as Gemini but smaller and less polished. Gemma's chat replies are short, cautious, and structured -- closer to a careful intern than a peer.
Quirks
Inherits a Gemini-like safety bias, so refusals appear on prompts Mistral or DeepSeek would answer. Best used as a cheap local fallback or on-device model, not as a personality play.

What you'll pay

Pricing snapshot

Look past the headline number -- entry-tier limits drive most cost surprises.

Claude Mythos Preview logo

Claude Mythos Preview

No free tier

  • Project Glasswing (Gated)Invite only
  • Public accessNot available
Gemma 4 (Google) logo

Gemma 4 (Google)

Free tier available

  • Self-hosted$0
  • API (OpenRouter, Gemma 4 31B)$0.14-0.40/per 1M tokens
  • Google AI Studio$0

Benchmark Head-to-Head

Gemma 4 31B benchmarks — Claude Mythos Preview has no published benchmarks

BenchmarkScore
MMLU83%
GPQA Diamond84.3%
AIME 202689.2%
HumanEval85%

The decision

Which should you pick?

Use-case anchors and category strengths, side by side.

Claude Mythos Preview logo

Pick Claude Mythos Previewif…

C
6.5/10
  • Higher output quality (10.0 vs 8.0) where polish matters more than speed
  • More feature surface area for power users who'll use the depth
  • Partner organizations in Project Glasswing doing cybersecurity research, defensive red-teaming, threat intelligence, or large-scale vulnerability triage.
  • If your use case is legitimate cybersecurity and you have enterprise Anthropic contact, ask about Glasswing admission.

Partner organizations in Project Glasswing doing cybersecurity research, defensive red-teaming, threat intelligence, or large-scale vulnerability triage. If your use case is legitimate cybersecurity and you have enterprise Anthropic contact, ask about Glasswing admission.

Visit Claude Mythos Preview
Our pick
Gemma 4 (Google) logo

Pick Gemma 4 (Google)if…

A
8.3/10
  • Easier to learn and use day-to-day -- friendlier onboarding curve
  • Better value at the price you'll actually pay (10.0/10 on value)
  • Free tier lets you actually try it before paying
  • Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune.
  • Especially good for multilingual use cases and on-device deployment.

Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.

Visit Gemma 4 (Google)

Bottom line

The verdict

Gemma 4 (Google) is the clear winner: 8.3/10 (A-tier) versus 6.5/10 (C-tier). Claude Mythos Preview isn't a bad tool, but on every category that drives the overall score, Gemma 4 (Google) comes out ahead. The tier gap is repeatable -- not methodology noise -- and the day-to-day experience reflects it.

On pricing, Gemma 4 (Google) starts free while Claude Mythos Preview requires a paid plan from day one (Invite only+). If you're testing the waters or running an occasional workload, that gap matters more than the score differential. Claude Mythos Preview starts at Invite only; Gemma 4 (Google) starts at $0. Compare what each entry tier actually unlocks before you compare list prices -- the limits matter more than the headline number.

By use case: pick Claude Mythos Preview when partner organizations in project glasswing doing cybersecurity research, defensive red-teaming, threat intelligence, or large-scale vulnerability triage. Pick Gemma 4 (Google) when developers and businesses who need a permissively licensed multimodal llm they can self-host or fine-tune. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Gemma 4 (Google)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Claude Mythos Preview's lane, the score gap matters less than the fit.

Bottom line: Gemma 4 (Google) is the better tool for most people right now. Pick Claude Mythos Preview only when partner organizations in project glasswing doing cybersecurity research, defensive red-teaming, threat intelligence, or large-scale vulnerability triage -- that's its lane, and inside that lane it still earns its place.

AIToolTier verdictLast reviewed April 20, 2026Tier rubric · ease of use, output, value, features

Keep digging

Compare more & explore

Built from our daily AI-tool sweep, last touched April 20, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.