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Every score has a dated snapshot.

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  3. Claude 3.5 Haiku vs Yi-Large

Pairwise benchmark snapshot · Aug 1, 2026

Claude 3.5 Haiku vs Yi-Large benchmark

In this head-to-head showdown, Yi-Large delivers higher overall intelligence and human-preferred responses (Elo 1,430 vs 1,224), while Yi-Large leads in SWE-bench software engineering benchmarks (53.8%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while Claude 3.5 Haiku provides faster response streaming (140 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Yi-Large holds the advantage over Claude 3.5 Haiku in overall benchmark performance and human evaluation rankings. Choose Yi-Large for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Claude 3.5 Haiku (3)Yi-Large (6)
Claude 3.5 Haiku
3 of 9 Wins
✓Time to first token✓Output speed✓Context window
Yi-Large
6 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Anthropic
Leads 3 of 9 metrics
Claude 3.5 Haiku

Previous cheap Claude. Haiku 4.5 is the current $1/$5 SKU.

Elo 1,224$4/1M out
01.AI
Leads 6 of 9 metrics
Yi-Large

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

Elo 1,430$0.3/1M out
Top Rival Showdowns for Claude 3.5 Haiku
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderYi-Large Wins

Yi-Large

Δ 206 Arena Elo pts

Throughput LeaderClaude 3.5 Haiku Wins

Claude 3.5 Haiku

140 tok/s

Value per Dollar LeaderYi-Large Wins

Yi-Large

$0.3 / 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.

Claude 3.5 Haiku (3)vsYi-Large (7)
Claude 3.5 Haiku: 3W (30%)Overall: Yi-LargeYi-Large: 7W (70%)
← Claude 3.5 HaikuYi-Large →
🏆Yi-Large(5/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.5 HaikuvsYi-Large
Preference Elo
1,224vs1,430+206
Coding Elo
—vs1,410
SWE-bench
36.2%vs53.8%+17.6%
LiveBench
44.8%vs60.5%+15.7%
GPQA Diamond
54.1%vs72.4%+18.3%
Claude 3.5 Haiku: 0WYi-Large: 5W
🏆Claude 3.5 Haiku(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.5 HaikuvsYi-Large
Output speed
140 tok/svs90 tok/s+50 tok/s
Time to first token
110 msvs220 ms+110 ms
Claude 3.5 Haiku: 2WYi-Large: 0W
🏆Yi-Large(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.5 HaikuvsYi-Large
Output price
$4/1Mvs$0.3/1M+$3.7/1M
Input price
$0.8/1Mvs$0.3/1M+$0.5/1M
Context window
200kvs33k+167k
Claude 3.5 Haiku: 1WYi-Large: 2W

Side-by-Side Benchmark Matrix

Preference Elo+206
Claude 3.5 Haiku1,224
seed-bootstrap · Aug 1, 2026
Yi-Large1,430
seed-bootstrap · Aug 1, 2026
Coding Elo
Claude 3.5 Haiku—
Yi-Large1,410
seed-bootstrap · Aug 1, 2026
LiveBench+15.7%
Claude 3.5 Haiku44.8%
seed-bootstrap · Aug 1, 2026
Yi-Large60.5%
seed-bootstrap · Aug 1, 2026
SWE-bench+17.6%
Claude 3.5 Haiku36.2%
seed-bootstrap · Aug 1, 2026
Yi-Large53.8%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+18.3%
Claude 3.5 Haiku54.1%
seed-bootstrap · Aug 1, 2026
Yi-Large72.4%
seed-bootstrap · Aug 1, 2026
Time to first token+110 ms
Claude 3.5 Haiku110 ms
seed-bootstrap · Aug 1, 2026
Yi-Large220 ms
seed-bootstrap · Aug 1, 2026
Output speed+50 tok/s
Claude 3.5 Haiku140 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Large90 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.5/1M
Claude 3.5 Haiku$0.8/1M
seed-bootstrap · Aug 1, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$3.7/1M
Claude 3.5 Haiku$4/1M
seed-bootstrap · Aug 1, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Context window+167k
Claude 3.5 Haiku200k
seed-bootstrap · Aug 1, 2026
Yi-Large33k
seed-bootstrap · Aug 1, 2026
BenchmarkClaude 3.5 HaikuYi-LargeAdvantage Delta
Preference Elo
1,224
seed-bootstrap · Aug 1, 2026
1,430
seed-bootstrap · Aug 1, 2026
+206
Coding Elo—
1,410
seed-bootstrap · Aug 1, 2026
—
LiveBench
44.8%
seed-bootstrap · Aug 1, 2026
60.5%
seed-bootstrap · Aug 1, 2026
+15.7%
SWE-bench
36.2%
seed-bootstrap · Aug 1, 2026
53.8%
seed-bootstrap · Aug 1, 2026
+17.6%
GPQA Diamond
54.1%
seed-bootstrap · Aug 1, 2026
72.4%
seed-bootstrap · Aug 1, 2026
+18.3%
Time to first token
110 ms
seed-bootstrap · Aug 1, 2026
220 ms
seed-bootstrap · Aug 1, 2026
+110 ms
Output speed
140 tok/s
seed-bootstrap · Aug 1, 2026
90 tok/s
seed-bootstrap · Aug 1, 2026
+50 tok/s
Input price
$0.8/1M
seed-bootstrap · Aug 1, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.5/1M
Output price
$4/1M
seed-bootstrap · Aug 1, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$3.7/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
33k
seed-bootstrap · Aug 1, 2026
+167k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 83% 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 3.5 Haiku$88.00 / mo
In: $28Out: $60
Yi-Large$15.00 / mo
In: $10.5Out: $4.5
Estimated Cost Delta

Yi-Large is estimated to save $73.00/month ($876/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
    Claude 3.5 Haiku:Pick Claude 3.5 Haiku when time-to-first-token matters more than peak Elo.
  • 3
    Yi-Large:Pick Yi-Large as the default general assistant.

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 UIClaude 3.5 Haiku

Lower TTFT (110 ms).

Long-document RAGClaude 3.5 Haiku

Larger window (200k).

Screenshots / visionClaude 3.5 Haiku

Claude 3.5 Haiku is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsYi-LargeHigher SWE-bench (53.8%).
High-volume chatYi-LargeLower output list price ($0.3/1M).
Voice / low-latency UIClaude 3.5 HaikuLower TTFT (110 ms).
Long-document RAGClaude 3.5 HaikuLarger window (200k).
Screenshots / visionClaude 3.5 HaikuClaude 3.5 Haiku 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
Anthropic

Claude 3.5 Haiku

Elo 1,224
SWE-bench36.2%
Speed (tok/s)140 tok/s
Input / 1M Tokens$0.8/1M
Output / 1M Tokens$4/1M
01.AI

Yi-Large

Elo 1,430
SWE-bench53.8%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$0.3/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku 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, Claude 3.5 Haiku or Yi-Large?
Yi-Large leads SWE-bench at 53.8% vs 36.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Yi-Large output tokens are $0.3/1M versus $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Yi-Large?
Claude 3.5 Haiku 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?
Claude 3.5 Haiku accepts 200k 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 3.5 Haiku 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 3.5 Haiku matchups →|All Yi-Large matchups →
Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Yi-Large vs Yi-Lightning (next other)Claude Opus 4.5 vs Yi-LargeClaude Opus 4.6 vs Yi-LargeClaude Sonnet 4.5 vs Yi-LargeClaude Opus 5 vs Yi-Large