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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. OpenAI o1-mini vs Yi-Large

Pairwise benchmark snapshot · Aug 1, 2026

OpenAI o1-mini vs Yi-Large benchmark

In this head-to-head showdown, OpenAI o1-mini delivers higher overall intelligence and human-preferred responses (Elo 1,445 vs 1,430), while OpenAI o1-mini leads in SWE-bench software engineering benchmarks (56.4%), while Yi-Large is more budget-friendly at $0.3/1M 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: Choose OpenAI o1-mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Yi-Large if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

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

OpenAI o1-mini (6)Yi-Large (4)
OpenAI o1-mini
6 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Context window
Yi-Large
4 of 10 Wins
✓Time to first token✓Output speed✓Input price✓Output price
OpenAI
Leads 6 of 10 metrics
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
01.AI
Leads 4 of 10 metrics
Yi-Large

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

Elo 1,430$0.3/1M out
Top Rival Showdowns for OpenAI o1-mini
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderOpenAI o1-mini Wins

OpenAI o1-mini

Δ 15 Arena Elo pts

Throughput LeaderYi-Large Wins

Yi-Large

90 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
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI o1-mini (6)vsYi-Large (4)
OpenAI o1-mini: 6W (60%)Overall: OpenAI o1-miniYi-Large: 4W (40%)
← OpenAI o1-miniYi-Large →
🏆OpenAI o1-mini(5/5)

Intelligence & Reasoning

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

Benchmark
OpenAI o1-minivsYi-Large
Preference Elo
1,445vs1,430+15
Coding Elo
1,468vs1,410+58
SWE-bench
56.4%vs53.8%+2.6%
LiveBench
62%vs60.5%+1.5%
GPQA Diamond
76.8%vs72.4%+4.4%
OpenAI o1-mini: 5WYi-Large: 0W
🏆Yi-Large(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
OpenAI o1-minivsYi-Large
Output speed
85 tok/svs90 tok/s+5 tok/s
Time to first token
280 msvs220 ms+60 ms
OpenAI o1-mini: 0WYi-Large: 2W
🏆Yi-Large(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
OpenAI o1-minivsYi-Large
Output price
$4.4/1Mvs$0.3/1M+$4.1/1M
Input price
$1.1/1Mvs$0.3/1M+$0.8/1M
Context window
128kvs33k+95k
OpenAI o1-mini: 1WYi-Large: 2W

Side-by-Side Benchmark Matrix

Preference Elo+15
OpenAI o1-mini1,445
seed-bootstrap · Aug 1, 2026
Yi-Large1,430
seed-bootstrap · Aug 1, 2026
Coding Elo+58
OpenAI o1-mini1,468
seed-bootstrap · Aug 1, 2026
Yi-Large1,410
seed-bootstrap · Aug 1, 2026
LiveBench+1.5%
OpenAI o1-mini62%
seed-bootstrap · Aug 1, 2026
Yi-Large60.5%
seed-bootstrap · Aug 1, 2026
SWE-bench+2.6%
OpenAI o1-mini56.4%
seed-bootstrap · Aug 1, 2026
Yi-Large53.8%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+4.4%
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Yi-Large72.4%
seed-bootstrap · Aug 1, 2026
Time to first token+60 ms
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Yi-Large220 ms
seed-bootstrap · Aug 1, 2026
Output speed+5 tok/s
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Large90 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.8/1M
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.1/1M
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Context window+95k
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
Yi-Large33k
seed-bootstrap · Aug 1, 2026
BenchmarkOpenAI o1-miniYi-LargeAdvantage Delta
Preference Elo
1,445
seed-bootstrap · Aug 1, 2026
1,430
seed-bootstrap · Aug 1, 2026
+15
Coding Elo
1,468
seed-bootstrap · Aug 1, 2026
1,410
seed-bootstrap · Aug 1, 2026
+58
LiveBench
62%
seed-bootstrap · Aug 1, 2026
60.5%
seed-bootstrap · Aug 1, 2026
+1.5%
SWE-bench
56.4%
seed-bootstrap · Aug 1, 2026
53.8%
seed-bootstrap · Aug 1, 2026
+2.6%
GPQA Diamond
76.8%
seed-bootstrap · Aug 1, 2026
72.4%
seed-bootstrap · Aug 1, 2026
+4.4%
Time to first token
280 ms
seed-bootstrap · Aug 1, 2026
220 ms
seed-bootstrap · Aug 1, 2026
+60 ms
Output speed
85 tok/s
seed-bootstrap · Aug 1, 2026
90 tok/s
seed-bootstrap · Aug 1, 2026
+5 tok/s
Input price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.8/1M
Output price
$4.4/1M
seed-bootstrap · Aug 1, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$4.1/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
33k
seed-bootstrap · Aug 1, 2026
+95k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 86% 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)
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Yi-Large$15.00 / mo
In: $10.5Out: $4.5
Estimated Cost Delta

Yi-Large is estimated to save $89.50/month ($1,074/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o1-mini:Pick OpenAI o1-mini when repo-level coding accuracy is the constraint.
  • 2
    Yi-Large:Pick Yi-Large when you are optimizing output cost.
  • 3
    Yi-Large:Pick Yi-Large when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI o1-mini

Higher SWE-bench (56.4%).

High-volume chatYi-Large

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

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGOpenAI o1-mini

Larger window (128k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o1-miniHigher SWE-bench (56.4%).
High-volume chatYi-LargeLower output list price ($0.3/1M).
Voice / low-latency UIYi-LargeLower TTFT (220 ms).
Long-document RAGOpenAI o1-miniLarger window (128k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M
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, OpenAI o1-mini or Yi-Large?
OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, OpenAI o1-mini or Yi-Large?
OpenAI o1-mini leads SWE-bench at 56.4% 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 $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI o1-mini or Yi-Large?
Yi-Large has the lower time-to-first-token (220 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
OpenAI o1-mini accepts 128k 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. OpenAI o1-mini and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI o1-mini matchups →|All Yi-Large matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI o3-mini (next gpt-mini)Yi-Large vs Yi-Lightning (next other)Yi-Lightning vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini