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

DeepSeek V4 Flash vs Qwen2.5 Coder 32B Instruct benchmark

Name: DeepSeek V4 Flash vs Qwen2.5 Coder 32B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek V4 Flash (DeepSeek) and Qwen2.5 Coder 32B Instruct (Alibaba) using the latest snapshots we have as of Aug 16, 2026. DeepSeek V4 Flash wins on output price at $0.28/1M. DeepSeek V4 Flash 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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DeepSeek

DeepSeek V4 Flash

DeepSeek Jul 31 2026 price-performance SKU. Public listings put it near $0.14/$0.28 per 1M tokens.

Elo 1,490$0.28/1M out

Alibaba

Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

$1/1M 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 V4 Flash (10)vsQwen2.5 Coder 32B Instruct (0)

DeepSeek V4 Flash: 10W (100%)Overall: DeepSeek V4 FlashQwen2.5 Coder 32B Instruct: 0W (0%)

← DeepSeek V4 FlashQwen2.5 Coder 32B Instruct →

DeepSeek V4 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs—

Coding Elo

1,516vs—

SWE-bench

71.2%vs—

LiveBench

67.8%vs—

GPQA Diamond

81.6%vs—

DeepSeek V4 Flash: 5WQwen2.5 Coder 32B Instruct: 0W

DeepSeek V4 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

142 tok/svs—

Time to first token

165 msvs—

DeepSeek V4 Flash: 2WQwen2.5 Coder 32B Instruct: 0W

DeepSeek V4 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$1/1M

Input price

$0.14/1Mvs$0.66/1M

Context window

1Mvs33k

DeepSeek V4 Flash: 3WQwen2.5 Coder 32B Instruct: 0W

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 V4 Flash 6/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

DeepSeek V4 Flash

$0.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,490

EloHigh is better

—

Code Elo

High is better

1,516

Code EloHigh is better

—

LiveBench

High is better

67.8%

LiveBenchHigh is better

—

SWE-bench

High is better

71.2%

SWE-benchHigh is better

—

GPQA

High is better

81.6%

GPQAHigh is better

—

TTFT

Low is better

165 ms

TTFTLow is better

—

Speed

High is better

142 tok/s

SpeedHigh is better

—

In $

Low is better

+371%$0.14/1M

In $Low is better

$0.66/1M

Out $

Low is better

+257%$0.28/1M

Out $Low is better

$1/1M

Context

High is better

+3100%1M

ContextHigh is better

33k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 76% with DeepSeek V4 Flash

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek V4 Flash$9.10 / mo

In: $4.90Out: $4.20

Qwen2.5 Coder 32B Instruct$38.10 / mo

In: $23.10Out: $15.00

Estimated Cost Delta

DeepSeek V4 Flash is estimated to save $29.00/month ($348/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek V4 Flash:Pick DeepSeek V4 Flash when you are optimizing output cost.
2
DeepSeek V4 Flash:Pick DeepSeek V4 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek V4 Flash

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDeepSeek V4 Flash

Larger window (1M).

Screenshots / visionQwen2.5 Coder 32B Instruct

Qwen2.5 Coder 32B Instruct 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	DeepSeek V4 Flash	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	DeepSeek V4 Flash	Larger window (1M).
Screenshots / vision	Qwen2.5 Coder 32B Instruct	Qwen2.5 Coder 32B Instruct is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

priceJul 31, 2026

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Public listings put Flash near $0.14/$0.28 per 1M. That is a batch SKU, not a chatbot crown.

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CompareLLM Matrix

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LIVE

DeepSeek

DeepSeek V4 Flash

Elo 1,490

LiveBench67.8%

SWE-bench71.2%

Speed142 tok/s

Output cost$0.28/1M

Alibaba

Qwen2.5 Coder 32B Instruct

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1/1M

Frequently Asked Questions

Which is better overall, DeepSeek V4 Flash or Qwen2.5 Coder 32B Instruct?: 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 V4 Flash or Qwen2.5 Coder 32B Instruct?: 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?: DeepSeek V4 Flash output tokens are $0.28/1M versus $1/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V4 Flash or Qwen2.5 Coder 32B Instruct?: We do not have TTFT for both models.
Which has the larger context window?: DeepSeek V4 Flash accepts 1M tokens versus 33k.
Can I self-host either model?: DeepSeek V4 Flash 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 V4 Flash and Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek V4 Flash matchups →|All Qwen2.5 Coder 32B Instruct matchups →

DeepSeek V4 Flash vs DeepSeek V4 Pro (previous deepseek)Qwen QwQ 32B vs DeepSeek V4 Flash Qwen 3 Max vs DeepSeek V4 Flash Qwen 2.5 Plus vs DeepSeek V4 Flash Qwen3 235B vs DeepSeek V4 Flash Qwen 2.5 Coder 32B vs DeepSeek V4 Flash

DeepSeek V4 Flash vs Qwen2.5 Coder 32B Instruct benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V4 Flash (10)vsQwen2.5 Coder 32B Instruct (0)

DeepSeek V4 Flash: 10W (100%)Overall: DeepSeek V4 FlashQwen2.5 Coder 32B Instruct: 0W (0%)

← DeepSeek V4 FlashQwen2.5 Coder 32B Instruct →

DeepSeek V4 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs—

Coding Elo

1,516vs—

SWE-bench

71.2%vs—

LiveBench

67.8%vs—

GPQA Diamond

81.6%vs—

DeepSeek V4 Flash: 5WQwen2.5 Coder 32B Instruct: 0W

DeepSeek V4 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

142 tok/svs—

Time to first token

165 msvs—

DeepSeek V4 Flash: 2WQwen2.5 Coder 32B Instruct: 0W

DeepSeek V4 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$1/1M

Input price

$0.14/1Mvs$0.66/1M

Context window

1Mvs33k

DeepSeek V4 Flash: 3WQwen2.5 Coder 32B Instruct: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek V4 Flash

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDeepSeek V4 Flash

Larger window (1M).

Screenshots / visionQwen2.5 Coder 32B Instruct

Qwen2.5 Coder 32B Instruct 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	DeepSeek V4 Flash	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	DeepSeek V4 Flash	Larger window (1M).
Screenshots / vision	Qwen2.5 Coder 32B Instruct	Qwen2.5 Coder 32B Instruct is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V4 Flash or Qwen2.5 Coder 32B Instruct?

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 V4 Flash or Qwen2.5 Coder 32B Instruct?

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?

DeepSeek V4 Flash output tokens are $0.28/1M versus $1/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V4 Flash or Qwen2.5 Coder 32B Instruct?

We do not have TTFT for both models.

Which has the larger context window?

DeepSeek V4 Flash accepts 1M tokens versus 33k.

Can I self-host either model?

DeepSeek V4 Flash 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 V4 Flash and Qwen2.5 Coder 32B Instruct 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

No shared data

No shared data

DeepSeek V4 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Cast Your Matchup Vote

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CompareLLM Matrix

DeepSeek V4 Flash

Qwen2.5 Coder 32B Instruct

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

No shared data

No shared data

DeepSeek V4 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek V4 Flash

Qwen2.5 Coder 32B Instruct

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons