Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.8 vs DeepSeek Coder V2 benchmark

Name: Claude Opus 4.8 vs DeepSeek Coder V2 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.8 (Anthropic) and DeepSeek Coder V2 (DeepSeek) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.8 is ahead by 233 points (1,598 vs 1,365; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Claude Opus 4.8 resolves 78.4% versus 60.5% (seed-bootstrap (Aug 16, 2026)). DeepSeek Coder V2 streams faster (75 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). Claude Opus 4.8 has the larger context window (1M 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 4.8

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

Elo 1,598$25/1M out

DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.8 (6)vsDeepSeek Coder V2 (4)

Claude Opus 4.8: 6W (60%)Overall: Claude Opus 4.8DeepSeek Coder V2: 4W (40%)

← Claude Opus 4.8DeepSeek Coder V2 →

Claude Opus 4.8 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,598vs1,365

Coding Elo

1,604vs1,442

SWE-bench

78.4%vs60.5%

LiveBench

73.6%vs58.6%

GPQA Diamond

86.2%vs70.2%

Claude Opus 4.8: 5WDeepSeek Coder V2: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs75 tok/s

Time to first token

330 msvs290 ms

Claude Opus 4.8: 0WDeepSeek Coder V2: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.28/1M

Input price

$5/1Mvs$0.14/1M

Context window

1Mvs128k

Claude Opus 4.8: 1WDeepSeek Coder V2: 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 4.8 4/6

Preference Elo

Claude Opus 4.8

233 pts advantage

Throughput Speed

DeepSeek Coder V2

9 tok/s faster

Price Efficiency

DeepSeek Coder V2

$24.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+17%1,598

EloHigh is better

1,365

Code Elo

High is better

+11%1,604

Code EloHigh is better

1,442

LiveBench

High is better

+26%73.6%

LiveBenchHigh is better

58.6%

SWE-bench

High is better

+30%78.4%

SWE-benchHigh is better

60.5%

GPQA

High is better

+23%86.2%

GPQAHigh is better

70.2%

TTFT

Low is better

330 ms

TTFTLow is better

290 ms+14%

Speed

High is better

66 tok/s

SpeedHigh is better

75 tok/s+14%

In $

Low is better

$5/1M

In $Low is better

$0.14/1M+3471%

Out $

Low is better

$25/1M

Out $Low is better

$0.28/1M+8829%

Context

High is better

+681%1M

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 98% with DeepSeek Coder V2

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: $175.00Out: $375.00

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $540.90/month ($6,491/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 Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
3
DeepSeek Coder V2:Pick DeepSeek Coder V2 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 Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIDeepSeek Coder V2

Lower TTFT (290 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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.8	Higher SWE-bench (78.4%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek Coder V2	Lower TTFT (290 ms).
Long-document RAG	Claude Opus 4.8	Larger window (1M).
Screenshots / vision	Claude Opus 4.8	Claude 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.

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LIVE

Anthropic

Claude Opus 4.8

Elo 1,598

LiveBench73.6%

SWE-bench78.4%

Speed66 tok/s

Output cost$25/1M

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or DeepSeek Coder V2?: 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 Coder V2?: Claude Opus 4.8 leads SWE-bench at 78.4% vs 60.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.8 or DeepSeek Coder V2?: DeepSeek Coder V2 has the lower time-to-first-token (290 ms vs 330 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 Coder V2 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 Coder V2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4.8 matchups →|All DeepSeek Coder V2 matchups →

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

Claude Opus 4.8 vs DeepSeek Coder V2 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.8 (6)vsDeepSeek Coder V2 (4)

Claude Opus 4.8: 6W (60%)Overall: Claude Opus 4.8DeepSeek Coder V2: 4W (40%)

← Claude Opus 4.8DeepSeek Coder V2 →

Claude Opus 4.8 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,598vs1,365

Coding Elo

1,604vs1,442

SWE-bench

78.4%vs60.5%

LiveBench

73.6%vs58.6%

GPQA Diamond

86.2%vs70.2%

Claude Opus 4.8: 5WDeepSeek Coder V2: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs75 tok/s

Time to first token

330 msvs290 ms

Claude Opus 4.8: 0WDeepSeek Coder V2: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.28/1M

Input price

$5/1Mvs$0.14/1M

Context window

1Mvs128k

Claude Opus 4.8: 1WDeepSeek Coder V2: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.8

Higher SWE-bench (78.4%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIDeepSeek Coder V2

Lower TTFT (290 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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.8	Higher SWE-bench (78.4%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek Coder V2	Lower TTFT (290 ms).
Long-document RAG	Claude Opus 4.8	Larger window (1M).
Screenshots / vision	Claude Opus 4.8	Claude Opus 4.8 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or DeepSeek Coder V2?

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 Coder V2?

Claude Opus 4.8 leads SWE-bench at 78.4% vs 60.5%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.8 or DeepSeek Coder V2?

DeepSeek Coder V2 has the lower time-to-first-token (290 ms vs 330 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 Coder V2 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 Coder V2 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 4.8

DeepSeek Coder V2

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

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CompareLLM Matrix

Claude Opus 4.8

DeepSeek Coder V2

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 4.8

DeepSeek Coder V2

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.8

DeepSeek Coder V2

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons