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Home/Best DeepSeek R1 Alternatives
Best alternative: Claude Fable 5Alternatives

Best DeepSeek R1 Alternatives

Claude Fable 5 is the strongest alternative to DeepSeek R1 — it scores 100 vs 89 on research at $10/1M input (DeepSeek R1 costs $0.55/1M). DeepSeek V3 is the budget swap: $0.27/1M input is 51% cheaper. DeepSeek V3 is the top open-weight option if you want a model you can self-host.

Last verified Jun 9, 2026/Model data modified Jun 9, 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

View
Why this recommendation

Claude Fable 5 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Price
$10.00/1M
Context
1M tokens
Best budget model

Grok 4

View
Why this recommendation

Grok 4 is the lower-cost option to start with when you still need useful output at scale.

xAIBalanced
Best for
Coding and research at competitive pricing with maximum context
Price
$2.00/1M
Context
2M tokens
Best for speed

DeepSeek V3

View
Why this recommendation

DeepSeek V3 is the better pick when response speed matters more than maximum reasoning depth.

DeepSeekBudget
Best for
Coding, reasoning, and general tasks at extreme cost efficiency
Price
$0.27/1M
Context
128k tokens

Why this page recommends it

Claude Fable 5 beats DeepSeek R1 on research (100 vs 89) at $10/1M input tokens.

DeepSeek V3 cuts input cost by 51% ($0.27 vs $0.55/1M) while scoring 80/100 on research.

DeepSeek V3 is open-weight — self-host it or run it via low-cost API providers at $0.27/1M input.

Decision notes

Choose Claude Fable 5 when you want the closest overall replacement — the hardest coding tasks.

Choose DeepSeek V3 when token volume matters more than peak quality — it is 51% cheaper on input.

Staying with DeepSeek? DeepSeek V3 is the strongest in-house switch at $0.27/1M 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 591 pts
#2Claude Mythos 590 pts
#3DeepSeek V374 pts
#4DeepSeek R170 pts
Quality first

Claude Fable 5

Anthropic / Premium / Jun 9, 2026

91

New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

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

Cost
$10.00/1M
$50.00/1M out
Speed
Deliberate
2/100 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.

Recommended comparisons

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

DeepSeekBudgetBest alternative: Claude Fable 5

DeepSeek R1

Open-source o1-class reasoning at a fraction of the cost.

Best use case
Math, science, complex reasoning, and multi-step problem solving at budget cost
Input
$0.55/1M
Pricing
Budget
Speed
Deliberate
Context
128k tokens
ReasoningOpen sourceBudget
AnthropicPremiumOption 2

Claude Fable 5

New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

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
Coding leaderSWE-Bench Pro #1Mythos-class
DeepSeekBudgetOption 3

DeepSeek V3

GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.

Best use case
Coding, reasoning, and general tasks at extreme cost efficiency
Input
$0.27/1M
Pricing
Budget
Speed
Fast
Context
128k tokens
Open sourceBudgetCoding
AnthropicPremiumOption 4

Claude Mythos 5

The frontier ceiling — same model as Fable 5, safeguards lifted, partner-only.

Best use case
Frontier cybersecurity research, autonomous vulnerability discovery, and the absolute capability ceiling
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
FrontierRestricted accessCybersecurity

Pros

80.3% SWE-Bench Pro — the new #1, up from Opus 4.8's 69.2% and GPT-5.5's 58.6%

1932 on GDPval-AA, ahead of Opus 4.8 (1890) and GPT-5.5 (1769)

1M-token context at standard pricing, 128K max output per request

Mythos-class capability released for general use with new cyber-risk safeguards

Cons

Priced at $10/$50 per 1M tokens — double Opus 4.8 ($5/$25)

Deliberate pace; not for latency-sensitive interactive apps

Standard-use safeguards block some high-risk security workloads (use Mythos 5 with partner access)

Explore related decisions

Browse all modelsCompare pricingView DeepSeek R1View Claude Fable 5View DeepSeek V3Deepseek R1Claude Fable 5Claude Fable 5 vs DeepSeek R1DeepSeek R1 vs DeepSeek V3Best cheap AICompare models side by side

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FAQ

What is the best alternative to DeepSeek R1?

Claude Fable 5 is the strongest overall alternative. It scores 100/100 on research (DeepSeek R1: 89/100) and costs $10/1M input vs $0.55/1M. New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

What is the cheapest good alternative to DeepSeek R1?

DeepSeek V3 at $0.27/1M input — 51% cheaper than DeepSeek R1's $0.55/1M. It scores 80/100 on research, so expect a quality step down on the hardest tasks.

Is there an open-source alternative to DeepSeek R1?

Yes — DeepSeek V3 is the strongest open-weight alternative (research: 80/100). You can self-host it or use hosted APIs at $0.27/1M input, and there are no per-seat subscription fees.

What is the best DeepSeek alternative to DeepSeek R1?

DeepSeek V3 — same provider, same API surface, $0.27/1M input vs $0.55/1M. GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.

Is DeepSeek R1 still worth using in 2026?

The open-source reasoning model benchmark.