Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek Coder V2 vs Llama 4 Scout benchmark

Name: DeepSeek Coder V2 vs Llama 4 Scout AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and Llama 4 Scout (Meta) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Llama 4 Scout is ahead by 47 points (1,412 vs 1,365; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, DeepSeek Coder V2 resolves 60.5% versus 52.4% (seed-bootstrap (Aug 1, 2026)). Llama 4 Scout streams faster (155 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). Llama 4 Scout has the larger context window (1.3M 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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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.

DeepSeek Coder V2 (3)vsLlama 4 Scout (7)

DeepSeek Coder V2: 3W (30%)Overall: Llama 4 ScoutLlama 4 Scout: 7W (70%)

← DeepSeek Coder V2Llama 4 Scout →

Llama 4 Scout (3/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,412

Coding Elo

1,442vs1,398

SWE-bench

60.5%vs52.4%

LiveBench

58.6%vs59.6%

GPQA Diamond

70.2%vs71.2%

DeepSeek Coder V2: 2WLlama 4 Scout: 3W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs155 tok/s

Time to first token

290 msvs130 ms

DeepSeek Coder V2: 0WLlama 4 Scout: 2W

Llama 4 Scout (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.3/1M

Input price

$0.14/1Mvs$0.1/1M

Context window

128kvs1.3M

DeepSeek Coder V2: 1WLlama 4 Scout: 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 AdvantageLlama 4 Scout 4/6

Preference Elo

Llama 4 Scout

47 pts advantage

Throughput Speed

Llama 4 Scout

80 tok/s faster

Price Efficiency

DeepSeek Coder V2

$0.02/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,412+3%

Code Elo

High is better

+3%1,442

Code EloHigh is better

1,398

LiveBench

High is better

58.6%

LiveBenchHigh is better

59.6%+2%

SWE-bench

High is better

+15%60.5%

SWE-benchHigh is better

52.4%

GPQA

High is better

70.2%

GPQAHigh is better

71.2%+1%

TTFT

Low is better

290 ms

TTFTLow is better

130 ms+123%

Speed

High is better

75 tok/s

SpeedHigh is better

155 tok/s+107%

In $

Low is better

$0.14/1M

In $Low is better

$0.1/1M+40%

Out $

Low is better

+7%$0.28/1M

Out $Low is better

$0.3/1M

Context

High is better

128k

ContextHigh is better

1.3M+924%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 12% with Llama 4 Scout

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

Llama 4 Scout$8.00 / mo

In: $3.50Out: $4.50

Estimated Cost Delta

Llama 4 Scout is estimated to save $1.10/month ($13/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek Coder V2:Pick DeepSeek Coder V2 when repo-level coding accuracy is the constraint.
2
Llama 4 Scout:Pick Llama 4 Scout when time-to-first-token matters more than peak Elo.
3
Llama 4 Scout:Pick Llama 4 Scout for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

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

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Llama 4 Scout is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Llama 4 Scout is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 16, 2026

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.

launchApr 8, 2026

Llama 4 Scout: long-context open sibling of Maverick

Huge window, cheap hosted lists. The Haiku alternative that is actually open-weight.

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

Llama 4 Scout

Elo 1,412

LiveBench59.6%

SWE-bench52.4%

Speed155 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Llama 4 Scout?: Llama 4 Scout has the higher preference Elo in our latest snapshot (1,412). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek Coder V2 or Llama 4 Scout?: DeepSeek Coder V2 leads SWE-bench at 60.5% vs 52.4%. 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 $0.3/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or Llama 4 Scout?: Llama 4 Scout has the lower time-to-first-token (130 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Llama 4 Scout accepts 1.3M tokens versus 128k.
Can I self-host either model?: Both DeepSeek Coder V2 and Llama 4 Scout are marked open-weights. Hosting cost is not in this table.
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. DeepSeek Coder V2 and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All Llama 4 Scout matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)Llama 4 Scout vs Llama 4 Maverick (previous llama)DeepSeek V4 Flash vs Llama 4 Scout DeepSeek V4 Pro vs Llama 4 Scout Llama 3.1 405B vs DeepSeek Coder V2 DeepSeek R1 vs DeepSeek Coder V2

DeepSeek Coder V2 vs Llama 4 Scout benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (3)vsLlama 4 Scout (7)

DeepSeek Coder V2: 3W (30%)Overall: Llama 4 ScoutLlama 4 Scout: 7W (70%)

← DeepSeek Coder V2Llama 4 Scout →

Llama 4 Scout (3/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,412

Coding Elo

1,442vs1,398

SWE-bench

60.5%vs52.4%

LiveBench

58.6%vs59.6%

GPQA Diamond

70.2%vs71.2%

DeepSeek Coder V2: 2WLlama 4 Scout: 3W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs155 tok/s

Time to first token

290 msvs130 ms

DeepSeek Coder V2: 0WLlama 4 Scout: 2W

Llama 4 Scout (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.3/1M

Input price

$0.14/1Mvs$0.1/1M

Context window

128kvs1.3M

DeepSeek Coder V2: 1WLlama 4 Scout: 2W

Recommended Workload Routing

Repo / coding agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

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

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Llama 4 Scout is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Llama 4 Scout is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Llama 4 Scout?

Llama 4 Scout has the higher preference Elo in our latest snapshot (1,412). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek Coder V2 or Llama 4 Scout?

DeepSeek Coder V2 leads SWE-bench at 60.5% vs 52.4%. 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 $0.3/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or Llama 4 Scout?

Llama 4 Scout has the lower time-to-first-token (130 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Llama 4 Scout accepts 1.3M tokens versus 128k.

Can I self-host either model?

Both DeepSeek Coder V2 and Llama 4 Scout are marked open-weights. Hosting cost is not in this table.

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. DeepSeek Coder V2 and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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

Llama 4 Scout

Llama 4 Scout

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

Cast Your Matchup Vote

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CompareLLM Matrix

DeepSeek Coder V2

Llama 4 Scout

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

Llama 4 Scout

Llama 4 Scout

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek Coder V2

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons