Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

DeepSeek Coder V2 vs Qwen: Qwen3 14B benchmark

Name: DeepSeek Coder V2 vs Qwen: Qwen3 14B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and Qwen: Qwen3 14B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen: Qwen3 14B wins on output price at $0.24/1M. Qwen: Qwen3 14B has the larger context window (131k 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

Alibaba

Qwen: Qwen3 14B

Auto-discovered from OpenRouter (qwen/qwen3-14b). Preview until a second source matches.

$0.24/1M 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 (7)vsQwen: Qwen3 14B (3)

DeepSeek Coder V2: 7W (70%)Overall: DeepSeek Coder V2Qwen: Qwen3 14B: 3W (30%)

← DeepSeek Coder V2Qwen: Qwen3 14B →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WQwen: Qwen3 14B: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WQwen: Qwen3 14B: 0W

Qwen: Qwen3 14B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.24/1M

Input price

$0.14/1Mvs$0.12/1M

Context window

128kvs131k

DeepSeek Coder V2: 0WQwen: Qwen3 14B: 3W

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 AdvantageDeepSeek Coder V2 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3 14B

$0.04/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

—

Code Elo

High is better

1,442

Code EloHigh is better

—

LiveBench

High is better

58.6%

LiveBenchHigh is better

—

SWE-bench

High is better

60.5%

SWE-benchHigh is better

—

GPQA

High is better

70.2%

GPQAHigh is better

—

TTFT

Low is better

290 ms

TTFTLow is better

—

Speed

High is better

75 tok/s

SpeedHigh is better

—

In $

Low is better

$0.14/1M

In $Low is better

$0.12/1M+17%

Out $

Low is better

$0.28/1M

Out $Low is better

$0.24/1M+17%

Context

High is better

128k

ContextHigh is better

131k+2%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 14% with Qwen: Qwen3 14B

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

Qwen: Qwen3 14B$7.80 / mo

In: $4.20Out: $3.60

Estimated Cost Delta

Qwen: Qwen3 14B is estimated to save $1.30/month ($16/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 14B:Pick Qwen: Qwen3 14B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 14B

Lower output list price ($0.24/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 14B

Larger window (131k).

Screenshots / visionQwen: Qwen3 14B

Qwen: Qwen3 14B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 14B	Lower output list price ($0.24/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 14B	Larger window (131k).
Screenshots / vision	Qwen: Qwen3 14B	Qwen: Qwen3 14B is the side marked multimodal in the catalog.

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CompareLLM Matrix

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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

Alibaba

Qwen: Qwen3 14B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.24/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Qwen: Qwen3 14B?: 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, DeepSeek Coder V2 or Qwen: Qwen3 14B?: 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?: Qwen: Qwen3 14B output tokens are $0.24/1M versus $0.28/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or Qwen: Qwen3 14B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 14B accepts 131k 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. DeepSeek Coder V2 and Qwen: Qwen3 14B 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 Qwen: Qwen3 14B matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)DeepSeek V4 Flash vs DeepSeek Coder V2 Qwen QwQ 32B vs DeepSeek Coder V2 Qwen 3 Max vs DeepSeek Coder V2 DeepSeek V4 Pro vs DeepSeek Coder V2 DeepSeek R1 vs DeepSeek Coder V2

DeepSeek Coder V2 vs Qwen: Qwen3 14B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (7)vsQwen: Qwen3 14B (3)

DeepSeek Coder V2: 7W (70%)Overall: DeepSeek Coder V2Qwen: Qwen3 14B: 3W (30%)

← DeepSeek Coder V2Qwen: Qwen3 14B →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WQwen: Qwen3 14B: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WQwen: Qwen3 14B: 0W

Qwen: Qwen3 14B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.24/1M

Input price

$0.14/1Mvs$0.12/1M

Context window

128kvs131k

DeepSeek Coder V2: 0WQwen: Qwen3 14B: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 14B

Lower output list price ($0.24/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 14B

Larger window (131k).

Screenshots / visionQwen: Qwen3 14B

Qwen: Qwen3 14B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 14B	Lower output list price ($0.24/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 14B	Larger window (131k).
Screenshots / vision	Qwen: Qwen3 14B	Qwen: Qwen3 14B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Qwen: Qwen3 14B?

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, DeepSeek Coder V2 or Qwen: Qwen3 14B?

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?

Qwen: Qwen3 14B output tokens are $0.24/1M versus $0.28/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or Qwen: Qwen3 14B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 14B accepts 131k 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. DeepSeek Coder V2 and Qwen: Qwen3 14B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.