Pairwise benchmark snapshot · Aug 16, 2026

Gemini 2.5 Flash vs Yi-Large benchmark

Name: Gemini 2.5 Flash vs Yi-Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Gemini 2.5 Flash (Google) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Yi-Large is ahead by 135 points (1,430 vs 1,295; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Yi-Large resolves 53.8% versus 48% (seed-bootstrap (Aug 1, 2026)). Gemini 2.5 Flash streams faster (185 tok/s) while Yi-Large is the cheaper output token ($0.3/1M). Gemini 2.5 Flash has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Google

Gemini 2.5 Flash

Previous Google speed workhorse.

Elo 1,295$2.5/1M out

01.AI

Yi-Large

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

Elo 1,430$0.3/1M out

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 2.5 Flash (3)vsYi-Large (6)

Gemini 2.5 Flash: 3W (33%)Overall: Yi-LargeYi-Large: 6W (67%)

← Gemini 2.5 Flash1 tiesYi-Large →

Yi-Large (5/5)

Intelligence & Reasoning

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

Preference Elo

1,295vs1,430

Coding Elo

—vs1,410

SWE-bench

48%vs53.8%

LiveBench

51.4%vs60.5%

GPQA Diamond

68.2%vs72.4%

Gemini 2.5 Flash: 0WYi-Large: 5W

Gemini 2.5 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

185 tok/svs90 tok/s

Time to first token

110 msvs220 ms

Gemini 2.5 Flash: 2WYi-Large: 0W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.5/1Mvs$0.3/1M

Input price

$0.3/1Mvs$0.3/1M

Context window

1Mvs33k

Gemini 2.5 Flash: 1WYi-Large: 1W

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

Preference Elo

Yi-Large

135 pts advantage

Throughput Speed

Gemini 2.5 Flash

95 tok/s faster

Price Efficiency

Yi-Large

$2.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,295

EloHigh is better

1,430+10%

Code Elo

High is better

—

Code EloHigh is better

1,410

LiveBench

High is better

51.4%

LiveBenchHigh is better

60.5%+18%

SWE-bench

High is better

48%

SWE-benchHigh is better

53.8%+12%

GPQA

High is better

68.2%

GPQAHigh is better

72.4%+6%

TTFT

Low is better

+100%110 ms

TTFTLow is better

220 ms

Speed

High is better

+106%185 tok/s

SpeedHigh is better

90 tok/s

In $

Low is better

$0.3/1M

In $Low is better

$0.3/1M

Out $

Low is better

$2.5/1M

Out $Low is better

$0.3/1M+733%

Context

High is better

+3100%1M

ContextHigh is better

33k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 69% 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 Flash$48.00 / mo

In: $10.50Out: $37.50

Yi-Large$15.00 / mo

In: $10.50Out: $4.50

Estimated Cost Delta

Yi-Large is estimated to save $33.00/month ($396/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Yi-Large:Pick Yi-Large when repo-level coding accuracy is the constraint.
2
Gemini 2.5 Flash:Pick Gemini 2.5 Flash when time-to-first-token matters more than peak Elo.
3
Gemini 2.5 Flash:Pick Gemini 2.5 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsYi-Large

Higher SWE-bench (53.8%).

High-volume chatYi-Large

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

Voice / low-latency UIGemini 2.5 Flash

Lower TTFT (110 ms).

Long-document RAGGemini 2.5 Flash

Larger window (1M).

Screenshots / visionGemini 2.5 Flash

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Yi-Large	Higher SWE-bench (53.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Gemini 2.5 Flash	Lower TTFT (110 ms).
Long-document RAG	Gemini 2.5 Flash	Larger window (1M).
Screenshots / vision	Gemini 2.5 Flash	Gemini 2.5 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMar 25, 2025

Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Useful as a cheap historical compare. 3.7 Flash is the 2026 volume SKU.

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LIVE

Google

Gemini 2.5 Flash

Elo 1,295

LiveBench51.4%

SWE-bench48%

Speed185 tok/s

Output cost$2.5/1M

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, Gemini 2.5 Flash 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 Flash or Yi-Large?: Yi-Large leads SWE-bench at 53.8% vs 48%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Yi-Large output tokens are $0.3/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.5 Flash or Yi-Large?: Gemini 2.5 Flash has the lower time-to-first-token (110 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 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. Gemini 2.5 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 Gemini 2.5 Flash matchups →|All Yi-Large matchups →

Gemini 2.5 Flash vs Gemini 2.0 Flash Thinking (previous gemini-flash)Gemini 2.5 Flash vs Gemini 3 Flash (next gemini-flash)Yi-Large vs Yi-Lightning (next other)Gemini 3 Pro vs Yi-Large Gemini 3 Flash vs Yi-Large Gemini 2.0 Flash Thinking vs Yi-Large

Gemini 2.5 Flash vs Yi-Large benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 2.5 Flash (3)vsYi-Large (6)

Gemini 2.5 Flash: 3W (33%)Overall: Yi-LargeYi-Large: 6W (67%)

← Gemini 2.5 Flash1 tiesYi-Large →

Yi-Large (5/5)

Intelligence & Reasoning

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

Preference Elo

1,295vs1,430

Coding Elo

—vs1,410

SWE-bench

48%vs53.8%

LiveBench

51.4%vs60.5%

GPQA Diamond

68.2%vs72.4%

Gemini 2.5 Flash: 0WYi-Large: 5W

Gemini 2.5 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

185 tok/svs90 tok/s

Time to first token

110 msvs220 ms

Gemini 2.5 Flash: 2WYi-Large: 0W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.5/1Mvs$0.3/1M

Input price

$0.3/1Mvs$0.3/1M

Context window

1Mvs33k

Gemini 2.5 Flash: 1WYi-Large: 1W

Recommended Workload Routing

Repo / coding agentsYi-Large

Higher SWE-bench (53.8%).

High-volume chatYi-Large

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

Voice / low-latency UIGemini 2.5 Flash

Lower TTFT (110 ms).

Long-document RAGGemini 2.5 Flash

Larger window (1M).

Screenshots / visionGemini 2.5 Flash

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Yi-Large	Higher SWE-bench (53.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Gemini 2.5 Flash	Lower TTFT (110 ms).
Long-document RAG	Gemini 2.5 Flash	Larger window (1M).
Screenshots / vision	Gemini 2.5 Flash	Gemini 2.5 Flash is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Gemini 2.5 Flash 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 Flash or Yi-Large?

Yi-Large leads SWE-bench at 53.8% vs 48%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Yi-Large output tokens are $0.3/1M versus $2.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 2.5 Flash or Yi-Large?

Gemini 2.5 Flash has the lower time-to-first-token (110 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 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. Gemini 2.5 Flash and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Yi-Large

Gemini 2.5 Flash

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

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Community Discussions (0)

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CompareLLM Matrix

Gemini 2.5 Flash

Yi-Large

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Yi-Large

Gemini 2.5 Flash

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Gemini 2.5 Flash

Yi-Large

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons