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  3. Anthropic Claude Sonnet Latest vs DeepSeek R1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic Claude Sonnet Latest vs DeepSeek R1 benchmark

In this head-to-head showdown, DeepSeek R1 is more budget-friendly at $2.5/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Anthropic Claude Sonnet Latest if your priority is peak reasoning, complex code generation, and top preference Elo. Choose DeepSeek R1 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

DeepSeek R1 holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
DeepSeek R1Top code solve rate
ReasoningGPQA / Live
DeepSeek R1Top logical accuracy
Best Value$/1M Tok
DeepSeek R1Lowest API billing cost
Speed / TokTok/Sec
DeepSeek R1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Anthropic Claude Sonnet Latest (1)DeepSeek R1 (2)
Anthropic Claude Sonnet Latest
1 of 3 Wins
✓Context window
DeepSeek R1
2 of 3 Wins
✓Input price✓Output price
~anthropic
Leads 1 of 3
Anthropic Claude Sonnet Latest

Auto-discovered from OpenRouter (~anthropic/claude-sonnet-latest). Preview until a second source matches.

In: $2 · Out: $10/1M
DeepSeek
Leads 2 of 3
DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358In: $0.7 · Out: $2.5/1M

DeepSeek R1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL CoT)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~2,800
Internal reasoning
Cost / 1k
$8.10
7.4× base bill
Accuracy Boost
+6.5%
STEM & Logic
Top Rival Showdowns for Anthropic Claude Sonnet Latest
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDeepSeek R1 Wins

DeepSeek R1

$2.5 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Anthropic Claude Sonnet Latest (1)vsDeepSeek R1 (8)
Anthropic Claude Sonnet Latest: 1W (11%)Overall: DeepSeek R1DeepSeek R1: 8W (89%)
← Anthropic Claude Sonnet LatestDeepSeek R1 →
🏆DeepSeek R1 Leads(4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Anthropic Claude Sonnet LatestvsDeepSeek R1
Preference Elo
—vs1,358
Coding Elo
—vs—
SWE-bench
—vs65.2%
LiveBench
—vs59%
GPQA Diamond
—vs79.8%
Anthropic Claude Sonnet Latest: 0WDeepSeek R1: 4W
🏆DeepSeek R1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Anthropic Claude Sonnet LatestvsDeepSeek R1
Output speed
—vs62 tok/s
Time to first token
—vs420 ms
Anthropic Claude Sonnet Latest: 0WDeepSeek R1: 2W
🏆DeepSeek R1 Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Anthropic Claude Sonnet LatestvsDeepSeek R1
Output price
$10/1Mvs$2.5/1M+$7.5/1M
Input price
$2/1Mvs$0.7/1M+$1.3/1M
Context window
1Mvs64k+936k
Anthropic Claude Sonnet Latest: 1WDeepSeek R1: 2W

Side-by-Side Benchmark Matrix

Anthropic Claude Sonnet LatestDeepSeek R1
Preference Elo
Anthropic Claude Sonnet Latest—
DeepSeek R11,358
LiveBench
Anthropic Claude Sonnet Latest—
DeepSeek R159%
SWE-bench
Anthropic Claude Sonnet Latest—
DeepSeek R165.2%
GPQA Diamond
Anthropic Claude Sonnet Latest—
DeepSeek R179.8%
Time to first token
Anthropic Claude Sonnet Latest—
DeepSeek R1420 ms
Output speed
Anthropic Claude Sonnet Latest—
DeepSeek R162 tok/s
Input priceDeepSeek R1 +$1.3/1M
Anthropic Claude Sonnet Latest$2/1M
DeepSeek R1$0.7/1M
Output priceDeepSeek R1 +$7.5/1M
Anthropic Claude Sonnet Latest$10/1M
DeepSeek R1$2.5/1M
Context windowAnthropic Claude Sonnet Latest +936k
Anthropic Claude Sonnet Latest1M
DeepSeek R164k
BenchmarkAnthropic Claude Sonnet LatestDeepSeek R1Advantage Delta
Preference Elo—
1,358
lmarena · Aug 17, 2026
—
LiveBench—
59%
livebench · Aug 17, 2026
—
SWE-bench—
65.2%
swebench · Aug 17, 2026
—
GPQA Diamond—
79.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
62 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$2/1M
openrouter · Aug 17, 2026
$0.7/1M
openrouter · Aug 17, 2026
+$1.3/1M
Output price
$10/1M
openrouter · Aug 17, 2026
$2.5/1M
openrouter · Aug 17, 2026
+$7.5/1M
Context window
1M
openrouter · Aug 17, 2026
64k
openrouter · Aug 17, 2026
+936k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 72% with DeepSeek R1
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Anthropic Claude Sonnet Latest$220.00 / mo
In: $70Out: $150
DeepSeek R1$62.00 / mo
In: $24.5Out: $37.5
Estimated Cost Delta

DeepSeek R1 is estimated to save $158.00/month ($1,896/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek R1:Pick DeepSeek R1 when you are optimizing output cost.
  • 2
    Anthropic Claude Sonnet Latest:Pick Anthropic Claude Sonnet Latest for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek R1

Lower output list price ($2.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic Claude Sonnet Latest

Larger window (1M).

Screenshots / visionDeepSeek R1

DeepSeek R1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek R1Lower output list price ($2.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic Claude Sonnet LatestLarger window (1M).
Screenshots / visionDeepSeek R1DeepSeek R1 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
~anthropic

Anthropic Claude Sonnet Latest

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$2/1M
Output / 1M Tokens$10/1M
DeepSeek

DeepSeek R1

Elo 1,358
SWE-bench65.2%
Speed (tok/s)62 tok/s
Input / 1M Tokens$0.7/1M
Output / 1M Tokens$2.5/1M

Frequently Asked Questions

Which is better overall, Anthropic Claude Sonnet Latest or DeepSeek R1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Anthropic Claude Sonnet Latest or DeepSeek R1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
DeepSeek R1 output tokens are $2.5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic Claude Sonnet Latest or DeepSeek R1?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic Claude Sonnet Latest accepts 1M tokens versus 64k.
Can I self-host either model?
DeepSeek R1 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Anthropic Claude Sonnet Latest and DeepSeek R1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All Anthropic Claude Sonnet Latest matchups →|All DeepSeek R1 matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)DeepSeek V4 Flash vs DeepSeek R1DeepSeek Coder V2 vs DeepSeek R1Claude Opus 4.5 vs DeepSeek R1Claude Opus 4.6 vs DeepSeek R1