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Home/Best Claude Mythos 5.1 Alternatives
Best alternative: Claude Fable 5.1Alternatives

Best Claude Mythos 5.1 Alternatives

Claude Fable 5.1 is the strongest alternative to Claude Mythos 5.1 — it matches it on coding (100/100) at $10/1M input (Claude Mythos 5.1 costs $10/1M). Claude Opus 4.8 is the budget swap: $5/1M input is 50% cheaper. Kimi K3 is the top open-weight option if you want a model you can self-host.

Last verified Sep 1, 2026/Model data modified Sep 1, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$10.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Claude Fable 5.1

View
Why this recommendation

Claude Fable 5.1 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Price
$10.00/1M
Context
1M tokens
Best budget model

Grok 4.5

View
Why this recommendation

Grok 4.5 is the lower-cost option to start with when you still need useful output at scale.

xAIBalanced
Best for
Fast, token-efficient coding agents
Price
$2.00/1M
Context
500k tokens
Best for speed

Claude Mythos 5.1

View
Why this recommendation

Claude Mythos 5.1 is the better pick when response speed matters more than maximum reasoning depth.

AnthropicPremium
Best for
Vetted frontier cybersecurity and life-sciences research at the absolute capability ceiling
Price
$10.00/1M
Context
1M tokens

Why this page recommends it

Claude Fable 5.1 matches Claude Mythos 5.1 on coding (100/100) at $10/1M input tokens.

Claude Opus 4.8 cuts input cost by 50% ($5 vs $10/1M) while scoring 100/100 on coding.

Kimi K3 is open-weight — self-host it or run it via low-cost API providers at $3/1M input.

Decision notes

Choose Claude Fable 5.1 when you want the closest overall replacement — it targets frontier agentic coding, long-horizon autonomous work, and agentic scientific research.

Choose Claude Opus 4.8 when token volume matters more than peak quality — it is 50% cheaper on input.

Staying with Anthropic? Claude Fable 5.1 is the strongest in-house switch at $10/1M input.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Claude Fable 5.191 pts
#2Claude Fable 591 pts
#3Claude Mythos 5.190 pts
#4Claude Opus 4.890 pts
#5Kimi K388 pts
Quality first

Claude Fable 5.1

Anthropic / Premium / Sep 1, 2026

91

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$10.00/1M
$50.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

AnthropicPremiumBest alternative: Claude Fable 5.1

Claude Mythos 5.1

Fable 5.1 with the safeguards lifted — partner-only, 60.9% Terminal-Bench 4.0.

Best use case
Vetted frontier cybersecurity and life-sciences research at the absolute capability ceiling
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
FrontierRestricted accessCybersecurity
AnthropicPremiumOption 2

Claude Fable 5.1

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic
AnthropicPremiumOption 3

Claude Opus 4.8

Best value premium coder — frontier-grade at half of Fable 5's price.

Best use case
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
CodingParallel subagentsAgentic
MoonshotPremiumOption 4

Kimi K3

Closest Chinese challenger to the frontier — #4 overall on intelligence.

Best use case
Frontier-level reasoning and agentic coding
Input
$3.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Open weightsReasoningFlagship
AnthropicPremiumOption 5

Claude Fable 5

Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.

Best use case
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
SWE-Bench Pro 80.3%Mythos-classParallel subagents

Side-by-side specs

Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Fable 5.1Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate10098100
Claude Mythos 5.1Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate1009799
Claude Opus 4.8Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate1009698
Kimi K3Moonshot$3.00/1M$15.00/1M$601M tokensDeliberate969093

Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.

The case for each model

What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.

Claude Fable 5.1

Best alternative: Claude Fable 5.1Anthropic

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.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Agentic scientific research — 52.6% on Terminal-Bench-Science 0.1, more than double Fable 5's 24.7%
  • Long-running autonomous coding agents that plan, run, and debug across a whole repository
  • Cache-heavy agent loops where the 75% cache-read cut ($1.00 → $0.25 per 1M) is the real saving

Where it wins

  • 52.6% Terminal-Bench-Science 0.1 — 2.1x Fable 5 (24.7%), well clear of Opus 5 (29.0%) and GPT-5.6 Sol (22.4%)
  • 55.8% Terminal-Bench 4.0 agentic coding, ahead of Opus 5 (52.3%) and Fable 5 (42.0%)
  • Cache reads cut 75% to $0.25/1M — ~25% cheaper for typical use, ~45% for heavily agentic work
  • Independent Vals AI evaluation ranks it #1 of 51 on the Vals Index, #1 on LiveCodeBench (90.5%) and MMLU Pro (92.4%)
  • 1M-token context and 128K max output at standard rates, with adaptive thinking always enabled

Where it falls down

  • Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy
  • Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch
  • On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits
  • Deliberate, high-latency profile — the wrong choice for interactive, latency-bound apps

Skip it if

You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.

Our verdict

The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached 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.

Claude Mythos 5.1

Anthropic

The unrestricted twin of Claude Fable 5.1 — the same model with safeguards lifted in high-risk areas, released September 1, 2026 to vetted cybersecurity and life-sciences organisations under Anthropic's trusted-access programme. Scores 60.9% on Terminal-Bench 4.0, the highest agentic-coding result Anthropic has published.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Vulnerability discovery and exploit reasoning under Anthropic's trusted-access controls
  • Life-sciences research workflows that the generally available safeguards constrain
  • Autonomous engineering where Fable 5.1's safety tuning blocks a legitimate response

Where it wins

  • 60.9% on Terminal-Bench 4.0 — above Fable 5.1's 55.8% and the highest figure Anthropic has published
  • Same 1M-token context, 128K output, and $10/$50 base pricing as Fable 5.1
  • Inherits the same 75% cache-read reduction to $0.25 per 1M tokens
  • Safeguards lifted in areas where Fable 5.1 declines legitimate security and bio research work

Where it falls down

  • Not generally available — restricted to vetted US organisations under Project Glasswing
  • No advantage for ordinary work; Fable 5.1 is the same model at the same price for everyone else
  • Same deliberate, high-latency profile and premium pricing as Fable 5.1

Skip it if

You don't hold vetted trusted access, or your work never trips Fable 5.1's safeguards — the two models are otherwise identical.

Our verdict

The highest published agentic-coding score anywhere — 60.9% on Terminal-Bench 4.0 — but you almost certainly cannot get it. Mythos 5.1 is Fable 5.1 with safeguards lifted, gated to vetted cybersecurity and life-sciences organisations. Unless you hold trusted access and hit refusals that block real research, Fable 5.1 is the same model at the same price.

Released September 1, 2026 alongside Claude Fable 5.1, continuing the Mythos-class line that began with Project Glasswing's April 2026 private preview. Access is limited to vetted US cybersecurity and life-sciences professionals. Same underlying model, pricing, context window, and cache-read discount as Fable 5.1; the only published difference is the safeguard level and the resulting Terminal-Bench 4.0 score (60.9% vs 55.8%).

Claude Opus 4.8

Anthropic

Anthropic's newest Opus flagship — 69.2% SWE-Bench Pro, 88.6% SWE-Bench Verified, 1890 Arena Elo (121 pts ahead of GPT-5.5), and native parallel subagents. Same $5/$25 price as Opus 4.7.

Input
$5.00/1M
Output
$25.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Running parallel subagent workflows that split, solve, and merge complex engineering tasks
  • Autonomous PR review and multi-file refactors where accuracy matters more than speed
  • Deep research synthesis across 1M-token corpora — patents, codebases, legal documents

Where it wins

  • 69.2% SWE-Bench Pro — new #1, up from Opus 4.7's 64.3%
  • 88.6% SWE-Bench Verified and 83.4% OSWorld computer use
  • Native parallel subagents: orchestrated multi-agent execution in a single call
  • 1890 Arena Elo, 121 points ahead of GPT-5.5

Where it falls down

  • Deliberate pace — not the right pick for latency-sensitive applications
  • Same price tier as Opus 4.7; not a budget option

Skip it if

You need the highest possible coding ceiling (Fable 5 / Mythos 5), low-latency responses, or a workflow locked to OpenAI tooling.

Our verdict

The best value at the premium tier now that Claude Fable 5 leads on raw capability. 69.2% SWE-Bench Pro, 1890 Elo, and built-in parallel subagents at $5/$25 — half the price of Fable 5. The smart default for serious coding when you don't need the absolute frontier.

Launched May 27, 2026. Available on Claude API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, and GitHub Copilot. Fast mode available at $10/$50 per 1M tokens.

Kimi K3

Moonshot

Moonshot's 2.8-trillion-parameter multimodal reasoning flagship with always-on thinking — the largest open-weight model ever released and the closest Chinese challenger to the Western frontier.

Input
$3.00/1M
Output
$15.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Hardest reasoning tasks — #4 of all models on AA Intelligence Index v4.1 (57.1), ahead of Claude Opus 4.8
  • Agentic coding at 81.2 FrontierSWE and 88.3 Terminal-Bench 2.0 (Moonshot-reported)
  • 1M-context research synthesis with always-on extended thinking

Where it wins

  • AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8
  • FrontierSWE 81.2 and Terminal-Bench 2.0 88.3 — frontier-grade agentic coding numbers
  • Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history

Where it falls down

  • Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses
  • 2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity

Skip it if

You need fast responses or predictable output costs — always-on thinking burns tokens.

Our verdict

The first Chinese model to genuinely crowd the Western frontier — #4 on aggregate intelligence ahead of Opus 4.8. The always-on thinking makes it slow and output-heavy, so cost per task runs above the sticker price. A serious Opus-class alternative if latency isn't critical.

Released July 16, 2026; open weights July 26. Cache-hit input $0.30/1M. Subscriptions: Adagio (free) to Vivace $199/mo; full 1M context only on Allegro ($99) and up. New signups paused July 19 near GPU capacity, reopening in batches.

Explore related decisions

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Anthropic
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Comparison
Claude Mythos 5.1 vs Claude Fable 5.1Claude Mythos 5.1 vs Claude Fable 5.1 — the same model at the same price, separated only by safeguard level and access. Mythos 5.1 scores 60.9% on…Read guide
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Quick links

Browse all modelsCompare pricingView Claude Mythos 5.1View Claude Fable 5.1View Claude Opus 4.8

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FAQ

What is the best alternative to Claude Mythos 5.1?

Claude Fable 5.1 is the strongest overall alternative. It scores 100/100 on coding (Claude Mythos 5.1: 100/100) and costs $10/1M input vs $10/1M. New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

What is the cheapest good alternative to Claude Mythos 5.1?

Claude Opus 4.8 at $5/1M input — 50% cheaper than Claude Mythos 5.1's $10/1M. It scores 100/100 on coding, so expect a quality step down on the hardest tasks.

Is there an open-source alternative to Claude Mythos 5.1?

Yes — Kimi K3 is the strongest open-weight replacement for Claude Mythos 5.1, scoring 96/100 on coding against Claude Mythos 5.1's 100/100. You can self-host it or run it through hosted APIs at $3/1M input (Claude Mythos 5.1 costs $10/1M), with no per-seat subscription. Self-hosting trades the licence saving for infrastructure you have to run, so it pays off at sustained volume rather than for occasional use.

What is the best Anthropic alternative to Claude Mythos 5.1?

Claude Fable 5.1 — same provider, same API surface, $10/1M input vs $10/1M. New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Is Claude Mythos 5.1 still worth using in 2026?

The highest published agentic-coding score anywhere — 60.9% on Terminal-Bench 4.0 — but you almost certainly cannot get it.