Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.6 vs Yi-Large benchmark

Name: Claude Opus 4.6 vs Yi-Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.6 (Anthropic) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.6 is ahead by 144 points (1,574 vs 1,430; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.6 resolves 75.9% 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 Opus 4.6 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 Opus 4.6

Follow-on Opus release. Slightly behind 4.5 on official SWE-bench bash-only in the last published sweep; stronger long-horizon agent traces.

Elo 1,574$25/1M 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 Sonnet 4.5 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 Opus 4.6 (6)vsYi-Large (4)

Claude Opus 4.6: 6W (60%)Overall: Claude Opus 4.6Yi-Large: 4W (40%)

← Claude Opus 4.6Yi-Large →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,574vs1,430

Coding Elo

1,570vs1,410

SWE-bench

75.9%vs53.8%

LiveBench

72%vs60.5%

GPQA Diamond

84.8%vs72.4%

Claude Opus 4.6: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

64 tok/svs90 tok/s

Time to first token

360 msvs220 ms

Claude Opus 4.6: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.3/1M

Input price

$5/1Mvs$0.3/1M

Context window

1Mvs33k

Claude Opus 4.6: 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 Opus 4.6 4/6

Preference Elo

Claude Opus 4.6

144 pts advantage

Throughput Speed

Yi-Large

26 tok/s faster

Price Efficiency

Yi-Large

$24.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+10%1,574

EloHigh is better

1,430

Code Elo

High is better

+11%1,570

Code EloHigh is better

1,410

LiveBench

High is better

+19%72%

LiveBenchHigh is better

60.5%

SWE-bench

High is better

+41%75.9%

SWE-benchHigh is better

53.8%

GPQA

High is better

+17%84.8%

GPQAHigh is better

72.4%

TTFT

Low is better

360 ms

TTFTLow is better

220 ms+64%

Speed

High is better

64 tok/s

SpeedHigh is better

90 tok/s+41%

In $

Low is better

$5/1M

In $Low is better

$0.3/1M+1567%

Out $

Low is better

$25/1M

Out $Low is better

$0.3/1M+8233%

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 97% 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 Opus 4.6$550.00 / mo

In: $175.00Out: $375.00

Yi-Large$15.00 / mo

In: $10.50Out: $4.50

Estimated Cost Delta

Yi-Large is estimated to save $535.00/month ($6,420/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.6:Pick Claude Opus 4.6 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 Opus 4.6

Higher SWE-bench (75.9%).

High-volume chatYi-Large

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

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGClaude Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Claude Opus 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
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 Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Claude Opus 4.6 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMay 10, 2026

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Slightly behind 4.5 on one official SWE-bench sweep; stronger long-horizon traces. We keep the row for old vs URLs.

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LIVE

Anthropic

Claude Opus 4.6

Elo 1,574

LiveBench72%

SWE-bench75.9%

Speed64 tok/s

Output cost$25/1M

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 Opus 4.6 or Yi-Large?: Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.6 or Yi-Large?: Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.6 or Yi-Large?: Yi-Large has the lower time-to-first-token (220 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.6 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 Opus 4.6 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 Opus 4.6 matchups →|All Yi-Large matchups →

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

Claude Opus 4.6 vs Yi-Large benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.6 (6)vsYi-Large (4)

Claude Opus 4.6: 6W (60%)Overall: Claude Opus 4.6Yi-Large: 4W (40%)

← Claude Opus 4.6Yi-Large →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,574vs1,430

Coding Elo

1,570vs1,410

SWE-bench

75.9%vs53.8%

LiveBench

72%vs60.5%

GPQA Diamond

84.8%vs72.4%

Claude Opus 4.6: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

64 tok/svs90 tok/s

Time to first token

360 msvs220 ms

Claude Opus 4.6: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.3/1M

Input price

$5/1Mvs$0.3/1M

Context window

1Mvs33k

Claude Opus 4.6: 1WYi-Large: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.6

Higher SWE-bench (75.9%).

High-volume chatYi-Large

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

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGClaude Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Claude Opus 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
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 Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Claude Opus 4.6 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.6 or Yi-Large?

Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.6 or Yi-Large?

Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.6 or Yi-Large?

Yi-Large has the lower time-to-first-token (220 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.6 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 Opus 4.6 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 Opus 4.6

Yi-Large

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

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CompareLLM Matrix

Claude Opus 4.6

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 Opus 4.6

Yi-Large

Yi-Large

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.6

Yi-Large

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons