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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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  3. Gemini 2.5 Pro vs Yi-Large

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 2.5 Pro vs Yi-Large benchmark

In this head-to-head showdown, Yi-Large delivers higher overall intelligence and human-preferred responses (Elo 1,430 vs 1,350), while Gemini 2.5 Pro leads in SWE-bench software engineering benchmarks (63.8%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while Gemini 2.5 Pro provides faster response streaming (95 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Yi-Large holds the advantage over Gemini 2.5 Pro in overall benchmark performance and human evaluation rankings. Choose Yi-Large for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Gemini 2.5 Pro (5)Yi-Large (4)
Gemini 2.5 Pro
5 of 9 Wins
✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Context window
Yi-Large
4 of 9 Wins
✓Preference Elo✓LiveBench✓Input price✓Output price
Google
Leads 5 of 9 metrics
Gemini 2.5 Pro

Previous Google long-context flagship.

Elo 1,350$10/1M out
01.AI
Leads 4 of 9 metrics
Yi-Large

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

Elo 1,430$0.3/1M out
Top Rival Showdowns for Gemini 2.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderYi-Large Wins

Yi-Large

Δ 80 Arena Elo pts

Throughput LeaderGemini 2.5 Pro Wins

Gemini 2.5 Pro

95 tok/s

Value per Dollar LeaderYi-Large Wins

Yi-Large

$0.3 / 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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 2.5 Pro (5)vsYi-Large (5)
Gemini 2.5 Pro: 5W (50%)Overall: Even matchupYi-Large: 5W (50%)
← Gemini 2.5 ProYi-Large →
🏆Yi-Large(3/5)

Intelligence & Reasoning

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

Benchmark
Gemini 2.5 ProvsYi-Large
Preference Elo
1,350vs1,430+80
Coding Elo
—vs1,410
SWE-bench
63.8%vs53.8%+10%
LiveBench
57.1%vs60.5%+3.4%
GPQA Diamond
76.4%vs72.4%+4%
Gemini 2.5 Pro: 2WYi-Large: 3W
🏆Gemini 2.5 Pro(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 2.5 ProvsYi-Large
Output speed
95 tok/svs90 tok/s+5 tok/s
Time to first token
210 msvs220 ms+10 ms
Gemini 2.5 Pro: 2WYi-Large: 0W
🏆Yi-Large(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 2.5 ProvsYi-Large
Output price
$10/1Mvs$0.3/1M+$9.7/1M
Input price
$1.25/1Mvs$0.3/1M+$0.95/1M
Context window
1Mvs33k+1M
Gemini 2.5 Pro: 1WYi-Large: 2W

Side-by-Side Benchmark Matrix

Preference Elo+80
Gemini 2.5 Pro1,350
lmarena · Aug 17, 2026
Yi-Large1,430
lmarena · Aug 17, 2026
Coding Elo
Gemini 2.5 Pro—
Yi-Large1,410
lmarena · Aug 17, 2026
LiveBench+3.4%
Gemini 2.5 Pro57.1%
livebench · Aug 17, 2026
Yi-Large60.5%
livebench · Aug 17, 2026
SWE-bench+10%
Gemini 2.5 Pro63.8%
swebench · Aug 17, 2026
Yi-Large53.8%
swebench · Aug 17, 2026
GPQA Diamond+4%
Gemini 2.5 Pro76.4%
seed-bootstrap · Aug 1, 2026
Yi-Large72.4%
seed-bootstrap · Aug 1, 2026
Time to first token+10 ms
Gemini 2.5 Pro210 ms
seed-bootstrap · Aug 1, 2026
Yi-Large220 ms
seed-bootstrap · Aug 1, 2026
Output speed+5 tok/s
Gemini 2.5 Pro95 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Large90 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.95/1M
Gemini 2.5 Pro$1.25/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$9.7/1M
Gemini 2.5 Pro$10/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Context window+1M
Gemini 2.5 Pro1M
openrouter · Aug 17, 2026
Yi-Large33k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 2.5 ProYi-LargeAdvantage Delta
Preference Elo
1,350
lmarena · Aug 17, 2026
1,430
lmarena · Aug 17, 2026
+80
Coding Elo—
1,410
lmarena · Aug 17, 2026
—
LiveBench
57.1%
livebench · Aug 17, 2026
60.5%
livebench · Aug 17, 2026
+3.4%
SWE-bench
63.8%
swebench · Aug 17, 2026
53.8%
swebench · Aug 17, 2026
+10%
GPQA Diamond
76.4%
seed-bootstrap · Aug 1, 2026
72.4%
seed-bootstrap · Aug 1, 2026
+4%
Time to first token
210 ms
seed-bootstrap · Aug 1, 2026
220 ms
seed-bootstrap · Aug 1, 2026
+10 ms
Output speed
95 tok/s
seed-bootstrap · Aug 1, 2026
90 tok/s
seed-bootstrap · Aug 1, 2026
+5 tok/s
Input price
$1.25/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.95/1M
Output price
$10/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$9.7/1M
Context window
1M
openrouter · Aug 17, 2026
33k
seed-bootstrap · Aug 1, 2026
+1M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 92% with Yi-Large
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 2.5 Pro$193.75 / mo
In: $43.75Out: $150
Yi-Large$15.00 / mo
In: $10.5Out: $4.5
Estimated Cost Delta

Yi-Large is estimated to save $178.75/month ($2,145/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.5 Pro:Pick Gemini 2.5 Pro when repo-level coding accuracy is the constraint.
  • 2
    Yi-Large:Pick Yi-Large when you are optimizing output cost.
  • 3
    Gemini 2.5 Pro:Pick Gemini 2.5 Pro when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 2.5 Pro

Higher SWE-bench (63.8%).

High-volume chatYi-Large

Lower output list price ($0.3/1M).

Voice / low-latency UIGemini 2.5 Pro

Lower TTFT (210 ms).

Long-document RAGGemini 2.5 Pro

Larger window (1M).

Screenshots / visionGemini 2.5 Pro

Gemini 2.5 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 2.5 ProHigher SWE-bench (63.8%).
High-volume chatYi-LargeLower output list price ($0.3/1M).
Voice / low-latency UIGemini 2.5 ProLower TTFT (210 ms).
Long-document RAGGemini 2.5 ProLarger window (1M).
Screenshots / visionGemini 2.5 ProGemini 2.5 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 25, 2025

Gemini 2.5 Pro remains the previous Google long-context flagship

2025-03 row. 3.x Pro replaced it. Kept for old “2.5 pro vs gpt-4o” inbound.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 2.5 Pro

Elo 1,350
SWE-bench63.8%
Speed (tok/s)95 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$10/1M
01.AI

Yi-Large

Elo 1,430
SWE-bench53.8%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$0.3/1M

Frequently Asked Questions

Which is better overall, Gemini 2.5 Pro or Yi-Large?
Yi-Large has the higher preference Elo in our latest snapshot (1,430). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 2.5 Pro or Yi-Large?
Gemini 2.5 Pro leads SWE-bench at 63.8% vs 53.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Yi-Large output tokens are $0.3/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.5 Pro or Yi-Large?
Gemini 2.5 Pro has the lower time-to-first-token (210 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 2.5 Pro 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. Gemini 2.5 Pro and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 25, 2025

    Gemini 2.5 Pro remains the previous Google long-context flagship

Similar Head-to-Head Comparisons

All Gemini 2.5 Pro matchups →|All Yi-Large matchups →
Gemini 2.5 Pro vs Gemini 1.5 Pro (previous gemini-pro)Gemini 2.5 Pro vs Gemini 3 Pro (next gemini-pro)Yi-Large vs Yi-Lightning (next other)Gemini 2.0 Flash Thinking vs Yi-LargeGemini 3 Flash vs Yi-LargeGemini 3.6 Flash vs Yi-Large