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  3. Claude Opus 4.8 vs DeepSeek R1

Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.8 vs DeepSeek R1 benchmark

In this head-to-head showdown, Claude Opus 4.8 delivers higher overall intelligence and human-preferred responses (Elo 1,598 vs 1,358), while Claude Opus 4.8 leads in SWE-bench software engineering benchmarks (78.4%), while DeepSeek R1 is more budget-friendly at $2.19/1M per 1M output tokens, while Claude Opus 4.8 provides faster response streaming (66 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Claude Opus 4.8 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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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Claude Opus 4.8 (7)DeepSeek R1 (2)
Claude Opus 4.8
7 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Context window
DeepSeek R1
2 of 9 Wins
✓Input price✓Output price
Anthropic
Leads 7 of 9 metrics
Claude Opus 4.8

Prior Opus generation still billed at $5/$25. Kept as a compare baseline against Opus 5.

Opus 4.8Elo 1,598$25/1M out
DeepSeek
Leads 2 of 9 metrics
DeepSeek R1

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

Elo 1,358$2.19/1M out

Claude 4 Series Lineage & Sibling Variants

5 models

Currently comparing Claude Opus 4.8 vs DeepSeek R1. Alternative family tiers available.

Active: Claude Opus 4.8
Claude Opus 4.5$75Claude Opus 4.6$75Claude Sonnet 4.5$15Claude Haiku 4.5$5

Claude Opus 4.8 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (16k budget)

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.

Thinking Delay
330 ms
Standard speed
Reasoning Depth
~3,200
Internal tokens
Cost / 1k Calls
$90.00
9.0× standard bill
Accuracy Boost
+5.2% accuracy
STEM & SWE-bench

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.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~2,800
Internal tokens
Cost / 1k Calls
$7.06
7.6× standard bill
Accuracy Boost
+6.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Claude Opus 4.8
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderClaude Opus 4.8 Wins

Claude Opus 4.8

Δ 240 Arena Elo pts

Throughput LeaderClaude Opus 4.8 Wins

Claude Opus 4.8

66 tok/s

Value per Dollar LeaderDeepSeek R1 Wins

DeepSeek R1

$2.19 / 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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude Opus 4.8 (8)vsDeepSeek R1 (2)
Claude Opus 4.8: 8W (80%)Overall: Claude Opus 4.8DeepSeek R1: 2W (20%)
← Claude Opus 4.8DeepSeek R1 →
🏆Claude Opus 4.8(5/5)

Intelligence & Reasoning

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

Benchmark
Claude Opus 4.8vsDeepSeek R1
Preference Elo
1,598vs1,358+240
Coding Elo
1,604vs—
SWE-bench
78.4%vs65.2%+13.2%
LiveBench
73.6%vs59%+14.6%
GPQA Diamond
86.2%vs79.8%+6.4%
Claude Opus 4.8: 5WDeepSeek R1: 0W
🏆Claude Opus 4.8(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Opus 4.8vsDeepSeek R1
Output speed
66 tok/svs62 tok/s+4 tok/s
Time to first token
330 msvs420 ms+90 ms
Claude Opus 4.8: 2WDeepSeek R1: 0W
🏆DeepSeek R1(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Opus 4.8vsDeepSeek R1
Output price
$25/1Mvs$2.19/1M+$22.81/1M
Input price
$5/1Mvs$0.55/1M+$4.45/1M
Context window
1Mvs128k+872k
Claude Opus 4.8: 1WDeepSeek R1: 2W

Side-by-Side Benchmark Matrix

Preference Elo+240
Claude Opus 4.81,598
seed-bootstrap · Aug 16, 2026
DeepSeek R11,358
seed-bootstrap · Aug 1, 2026
Coding Elo
Claude Opus 4.81,604
seed-bootstrap · Aug 16, 2026
DeepSeek R1—
LiveBench+14.6%
Claude Opus 4.873.6%
seed-bootstrap · Aug 16, 2026
DeepSeek R159%
seed-bootstrap · Aug 1, 2026
SWE-bench+13.2%
Claude Opus 4.878.4%
seed-bootstrap · Aug 16, 2026
DeepSeek R165.2%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+6.4%
Claude Opus 4.886.2%
seed-bootstrap · Aug 16, 2026
DeepSeek R179.8%
seed-bootstrap · Aug 1, 2026
Time to first token+90 ms
Claude Opus 4.8330 ms
seed-bootstrap · Aug 16, 2026
DeepSeek R1420 ms
seed-bootstrap · Aug 1, 2026
Output speed+4 tok/s
Claude Opus 4.866 tok/s
seed-bootstrap · Aug 16, 2026
DeepSeek R162 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$4.45/1M
Claude Opus 4.8$5/1M
seed-bootstrap · Aug 16, 2026
DeepSeek R1$0.55/1M
seed-bootstrap · Aug 1, 2026
Output price+$22.81/1M
Claude Opus 4.8$25/1M
seed-bootstrap · Aug 16, 2026
DeepSeek R1$2.19/1M
seed-bootstrap · Aug 1, 2026
Context window+872k
Claude Opus 4.81M
seed-bootstrap · Aug 16, 2026
DeepSeek R1128k
seed-bootstrap · Aug 1, 2026
BenchmarkClaude Opus 4.8DeepSeek R1Advantage Delta
Preference Elo
1,598
seed-bootstrap · Aug 16, 2026
1,358
seed-bootstrap · Aug 1, 2026
+240
Coding Elo
1,604
seed-bootstrap · Aug 16, 2026
——
LiveBench
73.6%
seed-bootstrap · Aug 16, 2026
59%
seed-bootstrap · Aug 1, 2026
+14.6%
SWE-bench
78.4%
seed-bootstrap · Aug 16, 2026
65.2%
seed-bootstrap · Aug 1, 2026
+13.2%
GPQA Diamond
86.2%
seed-bootstrap · Aug 16, 2026
79.8%
seed-bootstrap · Aug 1, 2026
+6.4%
Time to first token
330 ms
seed-bootstrap · Aug 16, 2026
420 ms
seed-bootstrap · Aug 1, 2026
+90 ms
Output speed
66 tok/s
seed-bootstrap · Aug 16, 2026
62 tok/s
seed-bootstrap · Aug 1, 2026
+4 tok/s
Input price
$5/1M
seed-bootstrap · Aug 16, 2026
$0.55/1M
seed-bootstrap · Aug 1, 2026
+$4.45/1M
Output price
$25/1M
seed-bootstrap · Aug 16, 2026
$2.19/1M
seed-bootstrap · Aug 1, 2026
+$22.81/1M
Context window
1M
seed-bootstrap · Aug 16, 2026
128k
seed-bootstrap · Aug 1, 2026
+872k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 91% 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)
Claude Opus 4.8$550.00 / mo
In: $175Out: $375
DeepSeek R1$52.10 / mo
In: $19.25Out: $32.85
Estimated Cost Delta

DeepSeek R1 is estimated to save $497.90/month ($5,975/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Claude Opus 4.8:Pick Claude Opus 4.8 when repo-level coding accuracy is the constraint.
  • 2
    DeepSeek R1:Pick DeepSeek R1 when you are optimizing output cost.
  • 3
    Claude Opus 4.8:Pick Claude Opus 4.8 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.8

Higher SWE-bench (78.4%).

High-volume chatDeepSeek R1

Lower output list price ($2.19/1M).

Voice / low-latency UIClaude Opus 4.8

Lower TTFT (330 ms).

Long-document RAGClaude Opus 4.8

Larger window (1M).

Screenshots / visionClaude Opus 4.8

Claude Opus 4.8 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsClaude Opus 4.8Higher SWE-bench (78.4%).
High-volume chatDeepSeek R1Lower output list price ($2.19/1M).
Voice / low-latency UIClaude Opus 4.8Lower TTFT (330 ms).
Long-document RAGClaude Opus 4.8Larger window (1M).
Screenshots / visionClaude Opus 4.8Claude Opus 4.8 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJun 20, 2026

Keep Opus 4.8 on the board: a baseline, not a flagship

Opus 4.8 still bills $5/$25. We keep it so Opus 5 vs 4.8 is a real generation delta, not marketing.

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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude Opus 4.8

Elo 1,598
SWE-bench78.4%
Speed (tok/s)66 tok/s
Input / 1M Tokens$5/1M
Output / 1M Tokens$25/1M
DeepSeek

DeepSeek R1

Elo 1,358
SWE-bench65.2%
Speed (tok/s)62 tok/s
Input / 1M Tokens$0.55/1M
Output / 1M Tokens$2.19/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or DeepSeek R1?
Claude Opus 4.8 has the higher preference Elo in our latest snapshot (1,598). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.8 or DeepSeek R1?
Claude Opus 4.8 leads SWE-bench at 78.4% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek R1 output tokens are $2.19/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.8 or DeepSeek R1?
Claude Opus 4.8 has the lower time-to-first-token (330 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Claude Opus 4.8 accepts 1M tokens versus 128k.
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. Claude Opus 4.8 and DeepSeek R1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jun 20, 2026

    Keep Opus 4.8 on the board: a baseline, not a flagship

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All Claude Opus 4.8 matchups →|All DeepSeek R1 matchups →
Claude Opus 4.8 vs Claude Opus 4.6 (previous opus)Claude Opus 4.8 vs Claude Opus 5 (next opus)DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)Claude Fable 5 vs Claude Opus 4.8Claude Opus 4.5 vs Claude Opus 4.8