Pairwise benchmark snapshot · Aug 16, 2026

Llama 3.3 70B vs Yi-Lightning benchmark

Name: Llama 3.3 70B vs Yi-Lightning AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 3.3 70B (Meta) and Yi-Lightning (01.AI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Yi-Lightning is ahead by 190 points (1,475 vs 1,285; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Yi-Lightning resolves 63.4% versus 45.1% (seed-bootstrap (Aug 1, 2026)). Llama 3.3 70B streams faster (140 tok/s) while Yi-Lightning is the cheaper output token ($0.14/1M). Llama 3.3 70B has the larger context window (131k 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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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.

Llama 3.3 70B (3)vsYi-Lightning (7)

Llama 3.3 70B: 3W (30%)Overall: Yi-LightningYi-Lightning: 7W (70%)

← Llama 3.3 70BYi-Lightning →

Yi-Lightning (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,475

Coding Elo

—vs1,480

SWE-bench

45.1%vs63.4%

LiveBench

49.8%vs65%

GPQA Diamond

65.7%vs78%

Llama 3.3 70B: 0WYi-Lightning: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs130 tok/s

Time to first token

160 msvs150 ms

Llama 3.3 70B: 1WYi-Lightning: 1W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$0.14/1M

Input price

$0.1/1Mvs$0.14/1M

Context window

131kvs16k

Llama 3.3 70B: 2WYi-Lightning: 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-Lightning 4/6

Preference Elo

Yi-Lightning

190 pts advantage

Throughput Speed

Llama 3.3 70B

10 tok/s faster

Price Efficiency

Yi-Lightning

$0.18/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,285

EloHigh is better

1,475+15%

Code Elo

High is better

—

Code EloHigh is better

1,480

LiveBench

High is better

49.8%

LiveBenchHigh is better

65%+31%

SWE-bench

High is better

45.1%

SWE-benchHigh is better

63.4%+41%

GPQA

High is better

65.7%

GPQAHigh is better

78%+19%

TTFT

Low is better

160 ms

TTFTLow is better

150 ms+7%

Speed

High is better

+8%140 tok/s

SpeedHigh is better

130 tok/s

In $

Low is better

+40%$0.1/1M

In $Low is better

$0.14/1M

Out $

Low is better

$0.32/1M

Out $Low is better

$0.14/1M+129%

Context

High is better

+700%131k

ContextHigh is better

16k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 16% with Yi-Lightning

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Llama 3.3 70B$8.30 / mo

In: $3.50Out: $4.80

Yi-Lightning$7.00 / mo

In: $4.90Out: $2.10

Estimated Cost Delta

Yi-Lightning is estimated to save $1.30/month ($16/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Yi-Lightning:Pick Yi-Lightning when repo-level coding accuracy is the constraint.
2
Yi-Lightning:Pick Yi-Lightning when time-to-first-token matters more than peak Elo.
3
Yi-Lightning:Pick Yi-Lightning as the default general assistant.

Recommended Workload Routing

Repo / coding agentsYi-Lightning

Higher SWE-bench (63.4%).

High-volume chatYi-Lightning

Lower output list price ($0.14/1M).

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGLlama 3.3 70B

Larger window (131k).

Screenshots / visionYi-Lightning

Yi-Lightning is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Yi-Lightning	Higher SWE-bench (63.4%).
High-volume chat	Yi-Lightning	Lower output list price ($0.14/1M).
Voice / low-latency UI	Yi-Lightning	Lower TTFT (150 ms).
Long-document RAG	Llama 3.3 70B	Larger window (131k).
Screenshots / vision	Yi-Lightning	Yi-Lightning is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchDec 6, 2024

Llama 3.3 70B stays as the previous Meta 70B workhorse

Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.

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LIVE

Llama 3.3 70B

Elo 1,285

LiveBench49.8%

SWE-bench45.1%

Speed140 tok/s

Output cost$0.32/1M

01.AI

Yi-Lightning

Elo 1,475

LiveBench65%

SWE-bench63.4%

Speed130 tok/s

Output cost$0.14/1M

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or Yi-Lightning?: Yi-Lightning has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 3.3 70B or Yi-Lightning?: Yi-Lightning leads SWE-bench at 63.4% vs 45.1%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Yi-Lightning output tokens are $0.14/1M versus $0.32/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.3 70B or Yi-Lightning?: Yi-Lightning has the lower time-to-first-token (150 ms vs 160 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Llama 3.3 70B accepts 131k tokens versus 16k.
Can I self-host either model?: Llama 3.3 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Llama 3.3 70B and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.3 70B matchups →|All Yi-Lightning matchups →

Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)Yi-Lightning vs Yi-Large (previous other)Yi-Lightning vs Ernie 4.5 Turbo (next other)Llama 4 Maverick vs Yi-Lightning Llama 3.1 405B vs Llama 3.3 70B

Llama 3.3 70B vs Yi-Lightning benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (3)vsYi-Lightning (7)

Llama 3.3 70B: 3W (30%)Overall: Yi-LightningYi-Lightning: 7W (70%)

← Llama 3.3 70BYi-Lightning →

Yi-Lightning (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,475

Coding Elo

—vs1,480

SWE-bench

45.1%vs63.4%

LiveBench

49.8%vs65%

GPQA Diamond

65.7%vs78%

Llama 3.3 70B: 0WYi-Lightning: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs130 tok/s

Time to first token

160 msvs150 ms

Llama 3.3 70B: 1WYi-Lightning: 1W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$0.14/1M

Input price

$0.1/1Mvs$0.14/1M

Context window

131kvs16k

Llama 3.3 70B: 2WYi-Lightning: 1W

Recommended Workload Routing

Repo / coding agentsYi-Lightning

Higher SWE-bench (63.4%).

High-volume chatYi-Lightning

Lower output list price ($0.14/1M).

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGLlama 3.3 70B

Larger window (131k).

Screenshots / visionYi-Lightning

Yi-Lightning is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Yi-Lightning	Higher SWE-bench (63.4%).
High-volume chat	Yi-Lightning	Lower output list price ($0.14/1M).
Voice / low-latency UI	Yi-Lightning	Lower TTFT (150 ms).
Long-document RAG	Llama 3.3 70B	Larger window (131k).
Screenshots / vision	Yi-Lightning	Yi-Lightning is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or Yi-Lightning?

Yi-Lightning has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Llama 3.3 70B or Yi-Lightning?

Yi-Lightning leads SWE-bench at 63.4% vs 45.1%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Yi-Lightning output tokens are $0.14/1M versus $0.32/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.3 70B or Yi-Lightning?

Yi-Lightning has the lower time-to-first-token (150 ms vs 160 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Llama 3.3 70B accepts 131k tokens versus 16k.

Can I self-host either model?

Llama 3.3 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. Llama 3.3 70B and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Yi-Lightning

Llama 3.3 70B

Yi-Lightning

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

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CompareLLM Matrix

Llama 3.3 70B

Yi-Lightning

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-Lightning

Llama 3.3 70B

Yi-Lightning

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Llama 3.3 70B

Yi-Lightning

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons