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Every score has a dated snapshot.

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  3. Gemini 2.0 Flash Thinking vs Yi-Lightning

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 2.0 Flash Thinking vs Yi-Lightning benchmark

In this head-to-head showdown, Gemini 2.0 Flash Thinking delivers higher overall intelligence and human-preferred responses (Elo 1,490 vs 1,475), while Gemini 2.0 Flash Thinking leads in SWE-bench software engineering benchmarks (66.8%), 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 Gemini 2.0 Flash Thinking 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

Gemini 2.0 Flash Thinking (7)Yi-Lightning (3)
Gemini 2.0 Flash Thinking
7 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Context window
Yi-Lightning
3 of 10 Wins
✓Time to first token✓Output speed✓Output price
Google
Leads 7 of 10 metrics
Gemini 2.0 Flash Thinking

Google experimental reasoning model that visualizes thoughts in real-time.

Elo 1,490$0.4/1M out
01.AI
Leads 3 of 10 metrics
Yi-Lightning

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

LightningElo 1,475$0.14/1M out

Gemini 2.0 Flash Thinking Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (8k tokens)

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
220 ms
Standard speed
Reasoning Depth
~2,400
Internal tokens
Cost / 1k Calls
$1.13
6.6× standard bill
Accuracy Boost
+4.8% accuracy
STEM & SWE-bench
Top Rival Showdowns for Gemini 2.0 Flash Thinking
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderGemini 2.0 Flash Thinking Wins

Gemini 2.0 Flash Thinking

Δ 15 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
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 2.0 Flash Thinking (7)vsYi-Lightning (3)
Gemini 2.0 Flash Thinking: 7W (70%)Overall: Gemini 2.0 Flash ThinkingYi-Lightning: 3W (30%)
← Gemini 2.0 Flash ThinkingYi-Lightning →
🏆Gemini 2.0 Flash Thinking(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 2.0 Flash ThinkingvsYi-Lightning
Preference Elo
1,490vs1,475+15
Coding Elo
1,515vs1,480+35
SWE-bench
66.8%vs63.4%+3.4%
LiveBench
67%vs65%+2%
GPQA Diamond
81%vs78%+3%
Gemini 2.0 Flash Thinking: 5WYi-Lightning: 0W
🏆Yi-Lightning(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 2.0 Flash ThinkingvsYi-Lightning
Output speed
115 tok/svs130 tok/s+15 tok/s
Time to first token
220 msvs150 ms+70 ms
Gemini 2.0 Flash Thinking: 0WYi-Lightning: 2W
🏆Gemini 2.0 Flash Thinking(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 2.0 Flash ThinkingvsYi-Lightning
Output price
$0.4/1Mvs$0.14/1M+$0.26/1M
Input price
$0.1/1Mvs$0.14/1M+$0.04/1M
Context window
1Mvs16k+1M
Gemini 2.0 Flash Thinking: 2WYi-Lightning: 1W

Side-by-Side Benchmark Matrix

Preference Elo+15
Gemini 2.0 Flash Thinking1,490
lmarena · Aug 17, 2026
Yi-Lightning1,475
lmarena · Aug 17, 2026
Coding Elo+35
Gemini 2.0 Flash Thinking1,515
lmarena · Aug 17, 2026
Yi-Lightning1,480
lmarena · Aug 17, 2026
LiveBench+2%
Gemini 2.0 Flash Thinking67%
livebench · Aug 17, 2026
Yi-Lightning65%
livebench · Aug 17, 2026
SWE-bench+3.4%
Gemini 2.0 Flash Thinking66.8%
swebench · Aug 17, 2026
Yi-Lightning63.4%
swebench · Aug 17, 2026
GPQA Diamond+3%
Gemini 2.0 Flash Thinking81%
seed-bootstrap · Aug 1, 2026
Yi-Lightning78%
seed-bootstrap · Aug 1, 2026
Time to first token+70 ms
Gemini 2.0 Flash Thinking220 ms
seed-bootstrap · Aug 1, 2026
Yi-Lightning150 ms
seed-bootstrap · Aug 1, 2026
Output speed+15 tok/s
Gemini 2.0 Flash Thinking115 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Lightning130 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.04/1M
Gemini 2.0 Flash Thinking$0.1/1M
seed-bootstrap · Aug 1, 2026
Yi-Lightning$0.14/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.26/1M
Gemini 2.0 Flash Thinking$0.4/1M
seed-bootstrap · Aug 1, 2026
Yi-Lightning$0.14/1M
seed-bootstrap · Aug 1, 2026
Context window+1M
Gemini 2.0 Flash Thinking1M
seed-bootstrap · Aug 1, 2026
Yi-Lightning16k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 2.0 Flash ThinkingYi-LightningAdvantage Delta
Preference Elo
1,490
lmarena · Aug 17, 2026
1,475
lmarena · Aug 17, 2026
+15
Coding Elo
1,515
lmarena · Aug 17, 2026
1,480
lmarena · Aug 17, 2026
+35
LiveBench
67%
livebench · Aug 17, 2026
65%
livebench · Aug 17, 2026
+2%
SWE-bench
66.8%
swebench · Aug 17, 2026
63.4%
swebench · Aug 17, 2026
+3.4%
GPQA Diamond
81%
seed-bootstrap · Aug 1, 2026
78%
seed-bootstrap · Aug 1, 2026
+3%
Time to first token
220 ms
seed-bootstrap · Aug 1, 2026
150 ms
seed-bootstrap · Aug 1, 2026
+70 ms
Output speed
115 tok/s
seed-bootstrap · Aug 1, 2026
130 tok/s
seed-bootstrap · Aug 1, 2026
+15 tok/s
Input price
$0.1/1M
seed-bootstrap · Aug 1, 2026
$0.14/1M
seed-bootstrap · Aug 1, 2026
+$0.04/1M
Output price
$0.4/1M
seed-bootstrap · Aug 1, 2026
$0.14/1M
seed-bootstrap · Aug 1, 2026
+$0.26/1M
Context window
1M
seed-bootstrap · Aug 1, 2026
16k
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 26% 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)
Gemini 2.0 Flash Thinking$9.50 / mo
In: $3.5Out: $6
Yi-Lightning$7.00 / mo
In: $4.9Out: $2.1
Estimated Cost Delta

Yi-Lightning is estimated to save $2.50/month ($30/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking 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 agentsGemini 2.0 Flash Thinking

Higher SWE-bench (66.8%).

High-volume chatYi-Lightning

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

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGGemini 2.0 Flash Thinking

Larger window (1M).

Screenshots / visionGemini 2.0 Flash Thinking

Gemini 2.0 Flash Thinking is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 2.0 Flash ThinkingHigher SWE-bench (66.8%).
High-volume chatYi-LightningLower output list price ($0.14/1M).
Voice / low-latency UIYi-LightningLower TTFT (150 ms).
Long-document RAGGemini 2.0 Flash ThinkingLarger window (1M).
Screenshots / visionGemini 2.0 Flash ThinkingGemini 2.0 Flash Thinking 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
Google

Gemini 2.0 Flash Thinking

Elo 1,490
SWE-bench66.8%
Speed (tok/s)115 tok/s
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.4/1M
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, Gemini 2.0 Flash Thinking or Yi-Lightning?
Gemini 2.0 Flash Thinking has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 2.0 Flash Thinking or Yi-Lightning?
Gemini 2.0 Flash Thinking leads SWE-bench at 66.8% 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 $0.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.0 Flash Thinking or Yi-Lightning?
Yi-Lightning has the lower time-to-first-token (150 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 2.0 Flash Thinking accepts 1M 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. Gemini 2.0 Flash Thinking and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 2.0 Flash Thinking matchups →|All Yi-Lightning matchups →
Gemini 2.0 Flash Thinking vs Gemini 2.5 Flash (next gemini-flash)Yi-Lightning vs Yi-Large (previous other)Yi-Lightning vs Ernie 4.5 Turbo (next other)Gemini 3 Flash vs Gemini 2.0 Flash ThinkingGemini 3.6 Flash vs Gemini 2.0 Flash ThinkingGemini 3.7 Flash vs Gemini 2.0 Flash Thinking