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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 o3-mini vs Yi-Lightning

Pairwise benchmark snapshot · Aug 1, 2026

OpenAI o3-mini vs Yi-Lightning benchmark

In this head-to-head showdown, OpenAI o3-mini delivers higher overall intelligence and human-preferred responses (Elo 1,560 vs 1,475), while OpenAI o3-mini leads in SWE-bench software engineering benchmarks (78.5%), while Yi-Lightning is more budget-friendly at $0.14/1M 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 o3-mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Yi-Lightning 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 o3-mini (6)Yi-Lightning (4)
OpenAI o3-mini
6 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Context window
Yi-Lightning
4 of 10 Wins
✓Time to first token✓Output speed✓Input price✓Output price
OpenAI
Leads 6 of 10 metrics
OpenAI o3-mini

OpenAI cost-efficient reasoning model with adjustable thinking effort and top coding benchmark scores.

o3-miniElo 1,560$4.4/1M out
01.AI
Leads 4 of 10 metrics
Yi-Lightning

01.AI ultra-fast reasoning model delivering top LiveBench efficiency.

LightningElo 1,475$0.14/1M out

OpenAI o-Series Lineage & Sibling Variants

2 models

Currently comparing OpenAI o3-mini vs Yi-Lightning. Alternative family tiers available.

Active: OpenAI o3-mini
OpenAI o1$60

OpenAI o3-mini Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
290 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$8.47
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for OpenAI o3-mini
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderOpenAI o3-mini Wins

OpenAI o3-mini

Δ 85 Arena Elo pts

Throughput LeaderYi-Lightning Wins

Yi-Lightning

130 tok/s

Value per Dollar LeaderYi-Lightning Wins

Yi-Lightning

$0.14 / 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.

OpenAI o3-mini (6)vsYi-Lightning (4)
OpenAI o3-mini: 6W (60%)Overall: OpenAI o3-miniYi-Lightning: 4W (40%)
← OpenAI o3-miniYi-Lightning →
🏆OpenAI o3-mini(5/5)

Intelligence & Reasoning

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

Benchmark
OpenAI o3-minivsYi-Lightning
Preference Elo
1,560vs1,475+85
Coding Elo
1,585vs1,480+105
SWE-bench
78.5%vs63.4%+15.1%
LiveBench
72.4%vs65%+7.4%
GPQA Diamond
87.2%vs78%+9.2%
OpenAI o3-mini: 5WYi-Lightning: 0W
🏆Yi-Lightning(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
OpenAI o3-minivsYi-Lightning
Output speed
92 tok/svs130 tok/s+38 tok/s
Time to first token
290 msvs150 ms+140 ms
OpenAI o3-mini: 0WYi-Lightning: 2W
🏆Yi-Lightning(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
OpenAI o3-minivsYi-Lightning
Output price
$4.4/1Mvs$0.14/1M+$4.26/1M
Input price
$1.1/1Mvs$0.14/1M+$0.96/1M
Context window
200kvs16k+184k
OpenAI o3-mini: 1WYi-Lightning: 2W

Side-by-Side Benchmark Matrix

Preference Elo+85
OpenAI o3-mini1,560
seed-bootstrap · Aug 1, 2026
Yi-Lightning1,475
seed-bootstrap · Aug 1, 2026
Coding Elo+105
OpenAI o3-mini1,585
seed-bootstrap · Aug 1, 2026
Yi-Lightning1,480
seed-bootstrap · Aug 1, 2026
LiveBench+7.4%
OpenAI o3-mini72.4%
seed-bootstrap · Aug 1, 2026
Yi-Lightning65%
seed-bootstrap · Aug 1, 2026
SWE-bench+15.1%
OpenAI o3-mini78.5%
seed-bootstrap · Aug 1, 2026
Yi-Lightning63.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+9.2%
OpenAI o3-mini87.2%
seed-bootstrap · Aug 1, 2026
Yi-Lightning78%
seed-bootstrap · Aug 1, 2026
Time to first token+140 ms
OpenAI o3-mini290 ms
seed-bootstrap · Aug 1, 2026
Yi-Lightning150 ms
seed-bootstrap · Aug 1, 2026
Output speed+38 tok/s
OpenAI o3-mini92 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Lightning130 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.96/1M
OpenAI o3-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Yi-Lightning$0.14/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.26/1M
OpenAI o3-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Yi-Lightning$0.14/1M
seed-bootstrap · Aug 1, 2026
Context window+184k
OpenAI o3-mini200k
seed-bootstrap · Aug 1, 2026
Yi-Lightning16k
seed-bootstrap · Aug 1, 2026
BenchmarkOpenAI o3-miniYi-LightningAdvantage Delta
Preference Elo
1,560
seed-bootstrap · Aug 1, 2026
1,475
seed-bootstrap · Aug 1, 2026
+85
Coding Elo
1,585
seed-bootstrap · Aug 1, 2026
1,480
seed-bootstrap · Aug 1, 2026
+105
LiveBench
72.4%
seed-bootstrap · Aug 1, 2026
65%
seed-bootstrap · Aug 1, 2026
+7.4%
SWE-bench
78.5%
seed-bootstrap · Aug 1, 2026
63.4%
seed-bootstrap · Aug 1, 2026
+15.1%
GPQA Diamond
87.2%
seed-bootstrap · Aug 1, 2026
78%
seed-bootstrap · Aug 1, 2026
+9.2%
Time to first token
290 ms
seed-bootstrap · Aug 1, 2026
150 ms
seed-bootstrap · Aug 1, 2026
+140 ms
Output speed
92 tok/s
seed-bootstrap · Aug 1, 2026
130 tok/s
seed-bootstrap · Aug 1, 2026
+38 tok/s
Input price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$0.14/1M
seed-bootstrap · Aug 1, 2026
+$0.96/1M
Output price
$4.4/1M
seed-bootstrap · Aug 1, 2026
$0.14/1M
seed-bootstrap · Aug 1, 2026
+$4.26/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
16k
seed-bootstrap · Aug 1, 2026
+184k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 93% with Yi-Lightning
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
OpenAI o3-mini$104.50 / mo
In: $38.5Out: $66
Yi-Lightning$7.00 / mo
In: $4.9Out: $2.1
Estimated Cost Delta

Yi-Lightning is estimated to save $97.50/month ($1,170/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o3-mini:Pick OpenAI o3-mini when repo-level coding accuracy is the constraint.
  • 2
    Yi-Lightning:Pick Yi-Lightning when you are optimizing output cost.
  • 3
    Yi-Lightning:Pick Yi-Lightning when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI o3-mini

Higher SWE-bench (78.5%).

High-volume chatYi-Lightning

Lower output list price ($0.14/1M).

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGOpenAI o3-mini

Larger window (200k).

Screenshots / visionOpenAI o3-mini

OpenAI o3-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o3-miniHigher SWE-bench (78.5%).
High-volume chatYi-LightningLower output list price ($0.14/1M).
Voice / low-latency UIYi-LightningLower TTFT (150 ms).
Long-document RAGOpenAI o3-miniLarger window (200k).
Screenshots / visionOpenAI o3-miniOpenAI o3-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 o3-mini

Elo 1,560
SWE-bench78.5%
Speed (tok/s)92 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M
01.AI

Yi-Lightning

Elo 1,475
SWE-bench63.4%
Speed (tok/s)130 tok/s
Input / 1M Tokens$0.14/1M
Output / 1M Tokens$0.14/1M

Frequently Asked Questions

Which is better overall, OpenAI o3-mini or Yi-Lightning?
OpenAI o3-mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, OpenAI o3-mini or Yi-Lightning?
OpenAI o3-mini leads SWE-bench at 78.5% vs 63.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Yi-Lightning output tokens are $0.14/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI o3-mini or Yi-Lightning?
Yi-Lightning has the lower time-to-first-token (150 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
OpenAI o3-mini accepts 200k tokens versus 16k.
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 o3-mini and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI o3-mini matchups →|All Yi-Lightning matchups →
OpenAI o3-mini vs OpenAI o1-mini (previous gpt-mini)OpenAI o3-mini vs GPT-5 mini (next gpt-mini)Yi-Lightning vs Yi-Large (previous other)Yi-Lightning vs Ernie 4.5 Turbo (next other)GPT-5 vs OpenAI o3-miniGPT-5.6 Terra vs OpenAI o3-mini