Pairwise benchmark snapshot · Aug 17, 2026

MoonshotAI: Kimi K2 0711 vs Llama 3.1 405B benchmark

Name: MoonshotAI: Kimi K2 0711 vs Llama 3.1 405B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MoonshotAI: Kimi K2 0711 (Moonshot) and Llama 3.1 405B (Meta) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, MoonshotAI: Kimi K2 0711 is ahead by 95 points (1,465 vs 1,370; lmarena (Aug 17, 2026)). On SWE-bench coding, MoonshotAI: Kimi K2 0711 resolves 65.8% versus 58.4% (swebench (Aug 17, 2026)). MoonshotAI: Kimi K2 0711 streams faster (85 tok/s) while MoonshotAI: Kimi K2 0711 is the cheaper output token ($2.3/1M). MoonshotAI: Kimi K2 0711 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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Moonshot

MoonshotAI: Kimi K2 0711

Auto-discovered from OpenRouter (moonshotai/kimi-k2). Preview until a second source matches.

K2 BaseElo 1,465$2.3/1M out

Kimi Series Family (4 models)

Compare vs Base (Kimi K3)

Kimi K3

Moonshot

Flagship Base

CoT Scaler

Elo

1528

Speed

68 tok/s

Price

$15.00 / 1M

View model →vs this

MoonshotAI: Kimi K2.5

Moonshot

K2.5 Max

CoT Scaler

Elo

1515

Speed

72 tok/s

Price

$2.85 / 1M

-13 Elo-81% cost1.1x speed

View model →vs this

MoonshotAI: Kimi K2 0711

Moonshot

K2 Base

Elo

1465

Speed

85 tok/s

Price

$2.30 / 1M

-63 Elo-85% cost1.3x speed

Viewing now

Kimi Chat 1.5

Moonshot

2M Context

Elo

1420

Speed

95 tok/s

Price

$0.80 / 1M

-108 Elo-95% cost1.4x speed

View model →vs this

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Model A

Model B

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MoonshotAI: Kimi K2 0711 (10)vsLlama 3.1 405B (0)

MoonshotAI: Kimi K2 0711: 10W (100%)Overall: MoonshotAI: Kimi K2 0711Llama 3.1 405B: 0W (0%)

← MoonshotAI: Kimi K2 0711Llama 3.1 405B →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,370

Coding Elo

1,470vs1,385

SWE-bench

65.8%vs58.4%

LiveBench

62.8%vs61.2%

GPQA Diamond

76.5%vs75.2%

MoonshotAI: Kimi K2 0711: 5WLlama 3.1 405B: 0W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs42 tok/s

Time to first token

240 msvs360 ms

MoonshotAI: Kimi K2 0711: 2WLlama 3.1 405B: 0W

MoonshotAI: Kimi K2 0711 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$3.5/1M

Input price

$0.57/1Mvs$1.25/1M

Context window

131kvs128k

MoonshotAI: Kimi K2 0711: 3WLlama 3.1 405B: 0W

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 AdvantageMoonshotAI: Kimi K2 0711 6/6

Preference Elo

MoonshotAI: Kimi K2 0711

95 pts advantage

Throughput Speed

MoonshotAI: Kimi K2 0711

43 tok/s faster

Token Price Efficiency

MoonshotAI: Kimi K2 0711

$1.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+7%1,465

EloHigh is better

1,370

Code Elo

High is better

+6%1,470

Code EloHigh is better

1,385

LiveBench

High is better

+3%62.8%

LiveBenchHigh is better

61.2%

SWE-bench

High is better

+13%65.8%

SWE-benchHigh is better

58.4%

GPQA

High is better

+2%76.5%

GPQAHigh is better

75.2%

TTFT

Low is better

+50%240 ms

TTFTLow is better

360 ms

Speed

High is better

+102%85 tok/s

SpeedHigh is better

42 tok/s

In $

Low is better

+119%$0.57 / 1M

In $Low is better

$1.25 / 1M

Out $

Low is better

+52%$2.30 / 1M

Out $Low is better

$3.50 / 1M

Context

High is better

+2%131k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 43% with MoonshotAI: Kimi K2 0711

Monthly Volume50M tokens/mo

Quick Presets:

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

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

MoonshotAI: Kimi K2 0711$54.45 / mo

In: $19.95Out: $34.5

Llama 3.1 405B$96.25 / mo

In: $43.75Out: $52.5

Estimated Cost Delta

MoonshotAI: Kimi K2 0711 is estimated to save $41.80/month ($502/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 when repo-level coding accuracy is the constraint.
2
MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 when time-to-first-token matters more than peak Elo.
3
MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatMoonshotAI: Kimi K2 0711

Lower output list price ($2.3/1M).

Voice / low-latency UIMoonshotAI: Kimi K2 0711

Lower TTFT (240 ms).

Long-document RAGMoonshotAI: Kimi K2 0711

Larger window (131k).

Screenshots / visionMoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2 0711	Higher SWE-bench (65.8%).
High-volume chat	MoonshotAI: Kimi K2 0711	Lower output list price ($2.3/1M).
Voice / low-latency UI	MoonshotAI: Kimi K2 0711	Lower TTFT (240 ms).
Long-document RAG	MoonshotAI: Kimi K2 0711	Larger window (131k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

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LIVE

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

LiveBench62.8%

SWE-bench65.8%

Speed85 tok/s

Output cost$2.3/1M

Llama 3.1 405B

Elo 1,370

LiveBench61.2%

SWE-bench58.4%

Speed42 tok/s

Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?: MoonshotAI: Kimi K2 0711 has the higher preference Elo in our latest snapshot (1,465). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?: MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 58.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: MoonshotAI: Kimi K2 0711 output tokens are $2.3/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?: MoonshotAI: Kimi K2 0711 has the lower time-to-first-token (240 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: MoonshotAI: Kimi K2 0711 accepts 131k tokens versus 128k.
Can I self-host either model?: Llama 3.1 405B 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. MoonshotAI: Kimi K2 0711 and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MoonshotAI: Kimi K2 0711 matchups →|All Llama 3.1 405B matchups →

MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Llama 3.1 405B vs Llama 3.1 70B (next llama)Llama 4 Maverick vs MoonshotAI: Kimi K2 0711 Kimi K3 vs MoonshotAI: Kimi K2 0711 Llama 4 Scout vs Llama 3.1 405B

MoonshotAI: Kimi K2 0711 vs Llama 3.1 405B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MoonshotAI: Kimi K2 0711 (10)vsLlama 3.1 405B (0)

MoonshotAI: Kimi K2 0711: 10W (100%)Overall: MoonshotAI: Kimi K2 0711Llama 3.1 405B: 0W (0%)

← MoonshotAI: Kimi K2 0711Llama 3.1 405B →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,370

Coding Elo

1,470vs1,385

SWE-bench

65.8%vs58.4%

LiveBench

62.8%vs61.2%

GPQA Diamond

76.5%vs75.2%

MoonshotAI: Kimi K2 0711: 5WLlama 3.1 405B: 0W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs42 tok/s

Time to first token

240 msvs360 ms

MoonshotAI: Kimi K2 0711: 2WLlama 3.1 405B: 0W

MoonshotAI: Kimi K2 0711 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$3.5/1M

Input price

$0.57/1Mvs$1.25/1M

Context window

131kvs128k

MoonshotAI: Kimi K2 0711: 3WLlama 3.1 405B: 0W

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatMoonshotAI: Kimi K2 0711

Lower output list price ($2.3/1M).

Voice / low-latency UIMoonshotAI: Kimi K2 0711

Lower TTFT (240 ms).

Long-document RAGMoonshotAI: Kimi K2 0711

Larger window (131k).

Screenshots / visionMoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2 0711	Higher SWE-bench (65.8%).
High-volume chat	MoonshotAI: Kimi K2 0711	Lower output list price ($2.3/1M).
Voice / low-latency UI	MoonshotAI: Kimi K2 0711	Lower TTFT (240 ms).
Long-document RAG	MoonshotAI: Kimi K2 0711	Larger window (131k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?

MoonshotAI: Kimi K2 0711 has the higher preference Elo in our latest snapshot (1,465). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?

MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 58.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

MoonshotAI: Kimi K2 0711 output tokens are $2.3/1M versus $3.5/1M. Input prices and retry rates still move the real bill.

Which is faster, MoonshotAI: Kimi K2 0711 or Llama 3.1 405B?

MoonshotAI: Kimi K2 0711 has the lower time-to-first-token (240 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

MoonshotAI: Kimi K2 0711 accepts 131k tokens versus 128k.

Can I self-host either model?

Llama 3.1 405B 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. MoonshotAI: Kimi K2 0711 and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.