Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.5 vs DeepSeek V3 benchmark

Name: Claude Opus 4.5 vs DeepSeek V3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.5 (Anthropic) and DeepSeek V3 (DeepSeek) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.5 is ahead by 258 points (1,568 vs 1,310; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.5 resolves 76.8% versus 48.6% (seed-bootstrap (Aug 1, 2026)). DeepSeek V3 streams faster (66 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). Claude Opus 4.5 has the larger context window (200k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4.5

Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.

Elo 1,568$25/1M out

DeepSeek

DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.0287/1M out

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Quick vs:vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (6)vsDeepSeek V3 (3)

Claude Opus 4.5: 6W (67%)Overall: Claude Opus 4.5DeepSeek V3: 3W (33%)

← Claude Opus 4.51 tiesDeepSeek V3 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,310

Coding Elo

1,574vs—

SWE-bench

76.8%vs48.6%

LiveBench

71.2%vs55.4%

GPQA Diamond

84.1%vs59.1%

Claude Opus 4.5: 5WDeepSeek V3: 0W

DeepSeek V3 (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs66 tok/s

Time to first token

380 msvs380 ms

Claude Opus 4.5: 0WDeepSeek V3: 1W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$1.03/1M

Input price

$5/1Mvs$0.26/1M

Context window

200kvs164k

Claude Opus 4.5: 1WDeepSeek V3: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude Opus 4.5 4/6

Preference Elo

Claude Opus 4.5

258 pts advantage

Throughput Speed

DeepSeek V3

4 tok/s faster

Price Efficiency

DeepSeek V3

$23.97/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+20%1,568

EloHigh is better

1,310

Code Elo

High is better

1,574

Code EloHigh is better

—

LiveBench

High is better

+29%71.2%

LiveBenchHigh is better

55.4%

SWE-bench

High is better

+58%76.8%

SWE-benchHigh is better

48.6%

GPQA

High is better

+42%84.1%

GPQAHigh is better

59.1%

TTFT

Low is better

380 ms

TTFTLow is better

380 ms

Speed

High is better

62 tok/s

SpeedHigh is better

66 tok/s+6%

In $

Low is better

$5/1M

In $Low is better

$0.26/1M+1843%

Out $

Low is better

$25/1M

Out $Low is better

$1.03/1M+2330%

Context

High is better

+22%200k

ContextHigh is better

164k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 96% with DeepSeek V3

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 4.5$550.00 / mo

In: $175.00Out: $375.00

DeepSeek V3$24.44 / mo

In: $9.01Out: $15.43

Estimated Cost Delta

DeepSeek V3 is estimated to save $525.56/month ($6,307/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.5:Pick Claude Opus 4.5 when repo-level coding accuracy is the constraint.
2
DeepSeek V3:Pick DeepSeek V3 when you are optimizing output cost.
3
Claude Opus 4.5:Pick Claude Opus 4.5 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIClaude Opus 4.5

Lower TTFT (380 ms).

Long-document RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Claude Opus 4.5	Lower TTFT (380 ms).
Long-document RAG	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 20, 2026

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

The Feb refresh made 4.5 a coding reference. Newer Opus SKUs exist; this row stays as the dated harness point.

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LIVE

Anthropic

Claude Opus 4.5

Elo 1,568

LiveBench71.2%

SWE-bench76.8%

Speed62 tok/s

Output cost$25/1M

DeepSeek

DeepSeek V3

Elo 1,310

LiveBench55.4%

SWE-bench48.6%

Speed66 tok/s

Output cost$1.03/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or DeepSeek V3?: Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.5 or DeepSeek V3?: Claude Opus 4.5 leads SWE-bench at 76.8% vs 48.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek V3 output tokens are $1.03/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.5 or DeepSeek V3?: Claude Opus 4.5 has the lower time-to-first-token (380 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.5 accepts 200k tokens versus 164k.
Can I self-host either model?: DeepSeek V3 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 4.5 and DeepSeek V3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4.5 matchups →|All DeepSeek V3 matchups →

Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)Claude Sonnet 5 vs Claude Opus 4.5 Claude Opus 4.8 vs Claude Opus 4.5

Claude Opus 4.5 vs DeepSeek V3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (6)vsDeepSeek V3 (3)

Claude Opus 4.5: 6W (67%)Overall: Claude Opus 4.5DeepSeek V3: 3W (33%)

← Claude Opus 4.51 tiesDeepSeek V3 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,310

Coding Elo

1,574vs—

SWE-bench

76.8%vs48.6%

LiveBench

71.2%vs55.4%

GPQA Diamond

84.1%vs59.1%

Claude Opus 4.5: 5WDeepSeek V3: 0W

DeepSeek V3 (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs66 tok/s

Time to first token

380 msvs380 ms

Claude Opus 4.5: 0WDeepSeek V3: 1W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$1.03/1M

Input price

$5/1Mvs$0.26/1M

Context window

200kvs164k

Claude Opus 4.5: 1WDeepSeek V3: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIClaude Opus 4.5

Lower TTFT (380 ms).

Long-document RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Claude Opus 4.5	Lower TTFT (380 ms).
Long-document RAG	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or DeepSeek V3?

Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.5 or DeepSeek V3?

Claude Opus 4.5 leads SWE-bench at 76.8% vs 48.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek V3 output tokens are $1.03/1M versus $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.5 or DeepSeek V3?

Claude Opus 4.5 has the lower time-to-first-token (380 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.5 accepts 200k tokens versus 164k.

Can I self-host either model?

DeepSeek V3 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 4.5 and DeepSeek V3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Claude Opus 4.5

DeepSeek V3

DeepSeek V3

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude Opus 4.5

DeepSeek V3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Claude Opus 4.5

DeepSeek V3

DeepSeek V3

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

DeepSeek V3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons