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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  2. Comparisons
  3. Qwen: Qwen3.7 Flash vs Yi-Large

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

Qwen: Qwen3.7 Flash vs Yi-Large benchmark

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.

Executive Comparison Verdict

Bottom Line: Both Qwen: Qwen3.7 Flash and Yi-Large present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Alibaba
Qwen: Qwen3.7 Flash

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

$0.13/1M out
01.AI
Yi-Large

01.AI full-scale dense model for complex instruction following.

Elo 1,430$0.3/1M out
Top Rival Showdowns for Qwen: Qwen3.7 Flash
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Qwen: Qwen3.7 Flash

$0.13 / 1M output

Capability Percentiles

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

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 AdvantageYi-Large 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Qwen: Qwen3.7 Flash (3)vsYi-Large (7)
Qwen: Qwen3.7 Flash: 3W (30%)Overall: Yi-LargeYi-Large: 7W (70%)
← Qwen: Qwen3.7 FlashYi-Large →
Yi-Large (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,430
Coding Elo
—vs1,410
SWE-bench
—vs53.8%
LiveBench
—vs60.5%
GPQA Diamond
—vs72.4%
Qwen: Qwen3.7 Flash: 0WYi-Large: 5W
Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs90 tok/s
Time to first token
—vs220 ms
Qwen: Qwen3.7 Flash: 0WYi-Large: 2W
Qwen: Qwen3.7 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.13/1Mvs$0.3/1M
Input price
$0.03/1Mvs$0.3/1M
Context window
1Mvs33k
Qwen: Qwen3.7 Flash: 3WYi-Large: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Qwen: Qwen3.7 Flash—
Yi-Large1,430
lmarena · Aug 17, 2026
Coding Elo
Qwen: Qwen3.7 Flash—
Yi-Large1,410
lmarena · Aug 17, 2026
LiveBench
Qwen: Qwen3.7 Flash—
Yi-Large60.5%
livebench · Aug 17, 2026
SWE-bench
Qwen: Qwen3.7 Flash—
Yi-Large53.8%
swebench · Aug 17, 2026
GPQA Diamond
Qwen: Qwen3.7 Flash—
Yi-Large72.4%
seed-bootstrap · Aug 1, 2026
Time to first token
Qwen: Qwen3.7 Flash—
Yi-Large220 ms
seed-bootstrap · Aug 1, 2026
Output speed
Qwen: Qwen3.7 Flash—
Yi-Large90 tok/s
seed-bootstrap · Aug 1, 2026
Input priceQwen: Qwen3.7 Flash (+$0.27/1M)
Qwen: Qwen3.7 Flash$0.03/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Output priceQwen: Qwen3.7 Flash (+$0.17/1M)
Qwen: Qwen3.7 Flash$0.13/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Context windowQwen: Qwen3.7 Flash (+967k)
Qwen: Qwen3.7 Flash1M
openrouter · Aug 17, 2026
Yi-Large33k
seed-bootstrap · Aug 1, 2026
BenchmarkQwen: Qwen3.7 FlashYi-LargeAdvantage Delta
Preference Elo—
1,430
lmarena · Aug 17, 2026
—
Coding Elo—
1,410
lmarena · Aug 17, 2026
—
LiveBench—
60.5%
livebench · Aug 17, 2026
—
SWE-bench—
53.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
72.4%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
220 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
90 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.03/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash (+$0.27/1M)
Output price
$0.13/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash (+$0.17/1M)
Context window
1M
openrouter · Aug 17, 2026
33k
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash (+967k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 80% 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)
Qwen: Qwen3.7 Flash$3.00 / mo
In: $1.05Out: $1.95
Yi-Large$15.00 / mo
In: $10.5Out: $4.5
Estimated Cost Delta

Qwen: Qwen3.7 Flash is estimated to save $12.00/month ($144/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 / visionYi-Large

Yi-Large is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen: Qwen3.7 FlashLower output list price ($0.13/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.7 FlashLarger window (1M).
Screenshots / visionYi-LargeYi-Large is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Alibaba

Qwen: Qwen3.7 Flash

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.13/1M
01.AI

Yi-Large

Elo 1,430
LiveBench60.5%
SWE-bench53.8%
Speed90 tok/s
Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, Qwen: Qwen3.7 Flash or Yi-Large?
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, Qwen: Qwen3.7 Flash or Yi-Large?
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 $0.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen: Qwen3.7 Flash or Yi-Large?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.7 Flash accepts 1M tokens versus 33k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
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. Qwen: Qwen3.7 Flash and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen: Qwen3.7 Flash matchups →|All Yi-Large matchups →
Yi-Large vs Yi-Lightning (next other)Qwen 3 Max vs Yi-LargeQwen QwQ 32B vs Yi-LargeQwen 2.5 Plus vs Yi-LargeQwen2.5 Coder 32B Instruct vs Yi-LargeClaude Opus 4.5 vs Yi-Large