Pairwise benchmark snapshot · Aug 16, 2026

Claude Sonnet 4.5 vs Yi-Large benchmark

Name: Claude Sonnet 4.5 vs Yi-Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Sonnet 4.5 (Anthropic) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Sonnet 4.5 is ahead by 94 points (1,524 vs 1,430; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Sonnet 4.5 resolves 70.1% versus 53.8% (seed-bootstrap (Aug 1, 2026)). Yi-Large streams faster (90 tok/s) while Yi-Large is the cheaper output token ($0.3/1M). Claude Sonnet 4.5 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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Anthropic

Claude Sonnet 4.5

Workhorse Anthropic model: most of Opus coding quality at a mid-tier price.

Elo 1,524$15/1M 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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Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Sonnet 4.5 (6)vsYi-Large (4)

Claude Sonnet 4.5: 6W (60%)Overall: Claude Sonnet 4.5Yi-Large: 4W (40%)

← Claude Sonnet 4.5Yi-Large →

Claude Sonnet 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,524vs1,430

Coding Elo

1,531vs1,410

SWE-bench

70.1%vs53.8%

LiveBench

67.4%vs60.5%

GPQA Diamond

80.2%vs72.4%

Claude Sonnet 4.5: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

88 tok/svs90 tok/s

Time to first token

240 msvs220 ms

Claude Sonnet 4.5: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.3/1M

Input price

$3/1Mvs$0.3/1M

Context window

1Mvs33k

Claude Sonnet 4.5: 1WYi-Large: 2W

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 AdvantageClaude Sonnet 4.5 4/6

Preference Elo

Claude Sonnet 4.5

94 pts advantage

Throughput Speed

Yi-Large

2 tok/s faster

Price Efficiency

Yi-Large

$14.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+7%1,524

EloHigh is better

1,430

Code Elo

High is better

+9%1,531

Code EloHigh is better

1,410

LiveBench

High is better

+11%67.4%

LiveBenchHigh is better

60.5%

SWE-bench

High is better

+30%70.1%

SWE-benchHigh is better

53.8%

GPQA

High is better

+11%80.2%

GPQAHigh is better

72.4%

TTFT

Low is better

240 ms

TTFTLow is better

220 ms+9%

Speed

High is better

88 tok/s

SpeedHigh is better

90 tok/s+2%

In $

Low is better

$3/1M

In $Low is better

$0.3/1M+900%

Out $

Low is better

$15/1M

Out $Low is better

$0.3/1M+4900%

Context

High is better

+2952%1M

ContextHigh is better

33k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 95% 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)

Claude Sonnet 4.5$330.00 / mo

In: $105.00Out: $225.00

Yi-Large$15.00 / mo

In: $10.50Out: $4.50

Estimated Cost Delta

Yi-Large is estimated to save $315.00/month ($3,780/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Sonnet 4.5:Pick Claude Sonnet 4.5 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 agentsClaude Sonnet 4.5

Higher SWE-bench (70.1%).

High-volume chatYi-Large

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

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGClaude Sonnet 4.5

Larger window (1M).

Screenshots / visionClaude Sonnet 4.5

Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4.5	Higher SWE-bench (70.1%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	Claude Sonnet 4.5	Larger window (1M).
Screenshots / vision	Claude Sonnet 4.5	Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 18, 2026

Claude Sonnet 4.5 is the previous workhorse — still a valid vs baseline

Most of Opus 4.5 coding at a mid-tier price. Sonnet 5 replaced it as the buy; 4.5 remains a compare baseline.

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LIVE

Anthropic

Claude Sonnet 4.5

Elo 1,524

LiveBench67.4%

SWE-bench70.1%

Speed88 tok/s

Output cost$15/1M

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, Claude Sonnet 4.5 or Yi-Large?: Claude Sonnet 4.5 has the higher preference Elo in our latest snapshot (1,524). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Sonnet 4.5 or Yi-Large?: Claude Sonnet 4.5 leads SWE-bench at 70.1% 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 $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4.5 or Yi-Large?: Yi-Large has the lower time-to-first-token (220 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Sonnet 4.5 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. Claude Sonnet 4.5 and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Sonnet 4.5 matchups →|All Yi-Large matchups →

Claude Sonnet 4.5 vs Claude Sonnet 4 (previous sonnet)Claude Sonnet 4.5 vs Claude Sonnet 5 (next sonnet)Yi-Large vs Yi-Lightning (next other)Claude Opus 4.5 vs Claude Sonnet 4.5 Claude Opus 4.6 vs Claude Sonnet 4.5 Claude Opus 4.8 vs Claude Sonnet 4.5

Claude Sonnet 4.5 vs Yi-Large benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Sonnet 4.5 (6)vsYi-Large (4)

Claude Sonnet 4.5: 6W (60%)Overall: Claude Sonnet 4.5Yi-Large: 4W (40%)

← Claude Sonnet 4.5Yi-Large →

Claude Sonnet 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,524vs1,430

Coding Elo

1,531vs1,410

SWE-bench

70.1%vs53.8%

LiveBench

67.4%vs60.5%

GPQA Diamond

80.2%vs72.4%

Claude Sonnet 4.5: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

88 tok/svs90 tok/s

Time to first token

240 msvs220 ms

Claude Sonnet 4.5: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.3/1M

Input price

$3/1Mvs$0.3/1M

Context window

1Mvs33k

Claude Sonnet 4.5: 1WYi-Large: 2W

Recommended Workload Routing

Repo / coding agentsClaude Sonnet 4.5

Higher SWE-bench (70.1%).

High-volume chatYi-Large

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

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGClaude Sonnet 4.5

Larger window (1M).

Screenshots / visionClaude Sonnet 4.5

Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4.5	Higher SWE-bench (70.1%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	Claude Sonnet 4.5	Larger window (1M).
Screenshots / vision	Claude Sonnet 4.5	Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Sonnet 4.5 or Yi-Large?

Claude Sonnet 4.5 has the higher preference Elo in our latest snapshot (1,524). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Sonnet 4.5 or Yi-Large?

Claude Sonnet 4.5 leads SWE-bench at 70.1% 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 $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Sonnet 4.5 or Yi-Large?

Yi-Large has the lower time-to-first-token (220 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Sonnet 4.5 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. Claude Sonnet 4.5 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

Claude Sonnet 4.5

Yi-Large

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Sonnet 4.5 is the previous workhorse — still a valid vs baseline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude Sonnet 4.5

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

Claude Sonnet 4.5

Yi-Large

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Sonnet 4.5 is the previous workhorse — still a valid vs baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Sonnet 4.5

Yi-Large

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons