Pairwise benchmark snapshot · Aug 17, 2026

Claude Sonnet 4 vs Yi-Large benchmark

Name: Claude Sonnet 4 vs Yi-Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Sonnet 4 (Anthropic) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Claude Sonnet 4 is ahead by 25 points (1,455 vs 1,430; lmarena (Aug 17, 2026)). On SWE-bench coding, Claude Sonnet 4 resolves 62.8% versus 53.8% (swebench (Aug 17, 2026)). Claude Sonnet 4 streams faster (92 tok/s) while Yi-Large is the cheaper output token ($0.3/1M). Claude Sonnet 4 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

First Sonnet 4 generation. Bridge between 3.5/3.7 and Sonnet 5.

Elo 1,455$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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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Sonnet 4 (7)vsYi-Large (2)

Claude Sonnet 4: 7W (78%)Overall: Claude Sonnet 4Yi-Large: 2W (22%)

← Claude Sonnet 41 tiesYi-Large →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs1,430

Coding Elo

1,468vs1,410

SWE-bench

62.8%vs53.8%

LiveBench

63.2%vs60.5%

GPQA Diamond

76.4%vs72.4%

Claude Sonnet 4: 5WYi-Large: 0W

Claude Sonnet 4 (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs90 tok/s

Time to first token

220 msvs220 ms

Claude Sonnet 4: 1WYi-Large: 0W

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: 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 5/6

Preference Elo

Claude Sonnet 4

25 pts advantage

Throughput Speed

Claude Sonnet 4

2 tok/s faster

Token Price Efficiency

Yi-Large

$14.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+2%1,455

EloHigh is better

1,430

Code Elo

High is better

+4%1,468

Code EloHigh is better

1,410

LiveBench

High is better

+4%63.2%

LiveBenchHigh is better

60.5%

SWE-bench

High is better

+17%62.8%

SWE-benchHigh is better

53.8%

GPQA

High is better

+6%76.4%

GPQAHigh is better

72.4%

TTFT

Low is better

220 ms

TTFTLow is better

220 ms

Speed

High is better

+2%92 tok/s

SpeedHigh is better

90 tok/s

In $

Low is better

$3.00 / 1M

In $Low is better

$0.30 / 1M+900%

Out $

Low is better

$15.00 / 1M

Out $Low is better

$0.30 / 1M+4900%

Context

High is better

+2952%1M

ContextHigh is better

33k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

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$330.00 / mo

In: $105Out: $225

Yi-Large$15.00 / mo

In: $10.5Out: $4.5

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:Pick Claude Sonnet 4 when repo-level coding accuracy is the constraint.
2
Yi-Large:Pick Yi-Large when you are optimizing output cost.
3
Claude Sonnet 4:Pick Claude Sonnet 4 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Sonnet 4

Higher SWE-bench (62.8%).

High-volume chatYi-Large

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

Voice / low-latency UIClaude Sonnet 4

Lower TTFT (220 ms).

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4	Higher SWE-bench (62.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Claude Sonnet 4	Lower TTFT (220 ms).
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

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LIVE

Anthropic

Claude Sonnet 4

Elo 1,455

LiveBench63.2%

SWE-bench62.8%

Speed92 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 or Yi-Large?: Claude Sonnet 4 has the higher preference Elo in our latest snapshot (1,455). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Sonnet 4 or Yi-Large?: Claude Sonnet 4 leads SWE-bench at 62.8% 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 or Yi-Large?: Claude Sonnet 4 has the lower time-to-first-token (220 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Sonnet 4 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 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 matchups →|All Yi-Large matchups →

Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Yi-Large vs Yi-Lightning (next other)Yi-Lightning vs Claude Sonnet 4 Claude Sonnet 5 vs Claude Sonnet 4 Claude Opus 4.5 vs Claude Sonnet 4

Claude Sonnet 4 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 (7)vsYi-Large (2)

Claude Sonnet 4: 7W (78%)Overall: Claude Sonnet 4Yi-Large: 2W (22%)

← Claude Sonnet 41 tiesYi-Large →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs1,430

Coding Elo

1,468vs1,410

SWE-bench

62.8%vs53.8%

LiveBench

63.2%vs60.5%

GPQA Diamond

76.4%vs72.4%

Claude Sonnet 4: 5WYi-Large: 0W

Claude Sonnet 4 (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs90 tok/s

Time to first token

220 msvs220 ms

Claude Sonnet 4: 1WYi-Large: 0W

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: 1WYi-Large: 2W

Recommended Workload Routing

Repo / coding agentsClaude Sonnet 4

Higher SWE-bench (62.8%).

High-volume chatYi-Large

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

Voice / low-latency UIClaude Sonnet 4

Lower TTFT (220 ms).

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4	Higher SWE-bench (62.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Claude Sonnet 4	Lower TTFT (220 ms).
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Sonnet 4 or Yi-Large?

Claude Sonnet 4 has the higher preference Elo in our latest snapshot (1,455). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Sonnet 4 or Yi-Large?

Claude Sonnet 4 leads SWE-bench at 62.8% 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 or Yi-Large?

Claude Sonnet 4 has the lower time-to-first-token (220 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Sonnet 4 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 and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.