Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek V3 vs Qwen: Qwen3.7 Flash benchmark

Name: DeepSeek V3 vs Qwen: Qwen3.7 Flash AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen: Qwen3.7 Flash is more budget-friendly at $0.13/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Qwen: Qwen3.7 Flash holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

DeepSeek V3Top code solve rate

ReasoningGPQA / Live

DeepSeek V3Top logical accuracy

Best Value$/1M Tok

Qwen: Qwen3.7 FlashLowest API billing cost

Speed / TokTok/Sec

DeepSeek V3Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

DeepSeek V3 (0)Qwen: Qwen3.7 Flash (3)

DeepSeek V3

0 of 3 Wins

Competitive baseline across remaining benchmarks

Qwen: Qwen3.7 Flash

3 of 3 Wins

✓Input price✓Output price✓Context window

DeepSeek

DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310In: $0.257 · Out: $1.029/1M

Alibaba

Leads 3 of 3

Qwen: Qwen3.7 Flash

Auto-discovered from OpenRouter (qwen/qwen3.7-flash). Preview until a second source matches.

In: $0.03 · Out: $0.13/1M

Top Rival Showdowns for DeepSeek V3

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen: Qwen3.7 Flash Wins

Qwen: Qwen3.7 Flash

$0.13 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

DeepSeek V3 (6)vsQwen: Qwen3.7 Flash (3)

DeepSeek V3: 6W (67%)Qwen: Qwen3.7 Flash: 3W (33%)

← DeepSeek V3Qwen: Qwen3.7 Flash →

🏆DeepSeek V3 Leads(4/5)

Intelligence & Reasoning

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

Benchmark

DeepSeek V3vsQwen: Qwen3.7 Flash

Preference Elo

1,310vs—

Coding Elo

—vs—

SWE-bench

48.6%vs—

LiveBench

55.4%vs—

GPQA Diamond

59.1%vs—

DeepSeek V3: 4WQwen: Qwen3.7 Flash: 0W

🏆DeepSeek V3 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

DeepSeek V3vsQwen: Qwen3.7 Flash

Output speed

66 tok/svs—

Time to first token

380 msvs—

DeepSeek V3: 2WQwen: Qwen3.7 Flash: 0W

🏆Qwen: Qwen3.7 Flash Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

DeepSeek V3vsQwen: Qwen3.7 Flash

Output price

$1.029/1Mvs$0.13/1M+$0.899/1M

Input price

$0.257/1Mvs$0.03/1M+$0.227/1M

Context window

164kvs1M+836k

DeepSeek V3: 0WQwen: Qwen3.7 Flash: 3W

Side-by-Side Benchmark Matrix

DeepSeek V3Qwen: Qwen3.7 Flash

Preference Elo

DeepSeek V31,310

Qwen: Qwen3.7 Flash—

LiveBench

DeepSeek V355.4%

Qwen: Qwen3.7 Flash—

SWE-bench

DeepSeek V348.6%

Qwen: Qwen3.7 Flash—

GPQA Diamond

DeepSeek V359.1%

Qwen: Qwen3.7 Flash—

Time to first token

DeepSeek V3380 ms

Qwen: Qwen3.7 Flash—

Output speed

DeepSeek V366 tok/s

Qwen: Qwen3.7 Flash—

Input priceQwen: Qwen3.7 Flash +$0.227/1M

DeepSeek V3$0.257/1M

Qwen: Qwen3.7 Flash$0.03/1M

Output priceQwen: Qwen3.7 Flash +$0.899/1M

DeepSeek V3$1.029/1M

Qwen: Qwen3.7 Flash$0.13/1M

Context windowQwen: Qwen3.7 Flash +836k

DeepSeek V3164k

Qwen: Qwen3.7 Flash1M

Benchmark	DeepSeek V3	Qwen: Qwen3.7 Flash	Advantage Delta
Preference Elo	1,310 lmarena · Aug 17, 2026	—	—
LiveBench	55.4% livebench · Aug 17, 2026	—	—
SWE-bench	48.6% swebench · Aug 17, 2026	—	—
GPQA Diamond	59.1% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	380 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	66 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.257/1M openrouter · Aug 17, 2026	$0.03/1M openrouter · Aug 17, 2026	+$0.227/1M
Output price	$1.029/1M openrouter · Aug 17, 2026	$0.13/1M openrouter · Aug 17, 2026	+$0.899/1M
Context window	164k openrouter · Aug 17, 2026	1M openrouter · Aug 17, 2026	+836k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 88% with Qwen: Qwen3.7 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 V3$24.44 / mo

In: $9.01Out: $15.43

Qwen: Qwen3.7 Flash$3.00 / mo

In: $1.05Out: $1.95

Estimated Cost Delta

Qwen: Qwen3.7 Flash is estimated to save $21.44/month ($257/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3.7 Flash:Pick Qwen: Qwen3.7 Flash when you are optimizing output cost.
2
Qwen: Qwen3.7 Flash:Pick Qwen: Qwen3.7 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.7 Flash

Lower output list price ($0.13/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Flash

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Flash

Qwen: Qwen3.7 Flash 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: Qwen3.7 Flash	Lower output list price ($0.13/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Flash	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Flash	Qwen: Qwen3.7 Flash is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

DeepSeek

DeepSeek V3

Elo 1,310

SWE-bench48.6%

Speed (tok/s)66 tok/s

Input / 1M Tokens$0.257/1M

Output / 1M Tokens$1.029/1M

Alibaba

Qwen: Qwen3.7 Flash

Elo n/a

SWE-bench—

Speed (tok/s)1M

Input / 1M Tokens$0.03/1M

Output / 1M Tokens$0.13/1M

Frequently Asked Questions

Which is better overall, DeepSeek V3 or Qwen: Qwen3.7 Flash?: 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 V3 or Qwen: Qwen3.7 Flash?: 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: Qwen3.7 Flash output tokens are $0.13/1M versus $1.029/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or Qwen: Qwen3.7 Flash?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.7 Flash accepts 1M 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. DeepSeek V3 and Qwen: Qwen3.7 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek V3 matchups →|All Qwen: Qwen3.7 Flash matchups →

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

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

DeepSeek V3Qwen: Qwen3.7 Flash

Preference Elo

DeepSeek V31,310

Qwen: Qwen3.7 Flash—

LiveBench

DeepSeek V355.4%

Qwen: Qwen3.7 Flash—

SWE-bench

DeepSeek V348.6%

Qwen: Qwen3.7 Flash—

GPQA Diamond

DeepSeek V359.1%

Qwen: Qwen3.7 Flash—

Time to first token

DeepSeek V3380 ms

Qwen: Qwen3.7 Flash—

Output speed

DeepSeek V366 tok/s

Qwen: Qwen3.7 Flash—

Input priceQwen: Qwen3.7 Flash +$0.227/1M

DeepSeek V3$0.257/1M

Qwen: Qwen3.7 Flash$0.03/1M

Output priceQwen: Qwen3.7 Flash +$0.899/1M

DeepSeek V3$1.029/1M

Qwen: Qwen3.7 Flash$0.13/1M

Context windowQwen: Qwen3.7 Flash +836k

DeepSeek V3164k

Qwen: Qwen3.7 Flash1M

Benchmark

DeepSeek V3

Qwen: Qwen3.7 Flash

Advantage Delta

Preference Elo

1,310

lmarena · Aug 17, 2026

—

LiveBench

55.4%

livebench · Aug 17, 2026

—

SWE-bench

48.6%

swebench · Aug 17, 2026

—

GPQA Diamond

59.1%

seed-bootstrap · Aug 1, 2026

—

Time to first token

380 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

66 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.257/1M

openrouter · Aug 17, 2026

$0.03/1M

openrouter · Aug 17, 2026

+$0.227/1M

Output price

$1.029/1M

openrouter · Aug 17, 2026

$0.13/1M

openrouter · Aug 17, 2026

+$0.899/1M

Context window

164k

openrouter · Aug 17, 2026

+836k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.7 Flash

Lower output list price ($0.13/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Flash

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Flash

Qwen: Qwen3.7 Flash 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: Qwen3.7 Flash	Lower output list price ($0.13/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Flash	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Flash	Qwen: Qwen3.7 Flash is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V3 or Qwen: Qwen3.7 Flash?

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 V3 or Qwen: Qwen3.7 Flash?

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: Qwen3.7 Flash output tokens are $0.13/1M versus $1.029/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V3 or Qwen: Qwen3.7 Flash?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.7 Flash accepts 1M 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. DeepSeek V3 and Qwen: Qwen3.7 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.