Pairwise benchmark snapshot · Aug 17, 2026

DeepSeek Coder V2 vs MoonshotAI: Kimi K2 0711 benchmark

Name: DeepSeek Coder V2 vs MoonshotAI: Kimi K2 0711 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and MoonshotAI: Kimi K2 0711 (Moonshot) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, MoonshotAI: Kimi K2 0711 is ahead by 100 points (1,465 vs 1,365; lmarena (Aug 17, 2026)). On SWE-bench coding, MoonshotAI: Kimi K2 0711 resolves 65.8% versus 60.5% (swebench (Aug 17, 2026)). MoonshotAI: Kimi K2 0711 streams faster (85 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). 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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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

Moonshot

MoonshotAI: Kimi K2 0711

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

Elo 1,465$2.3/1M out

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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.

DeepSeek Coder V2 (2)vsMoonshotAI: Kimi K2 0711 (8)

DeepSeek Coder V2: 2W (20%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 8W (80%)

← DeepSeek Coder V2MoonshotAI: Kimi K2 0711 →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,465

Coding Elo

1,442vs1,470

SWE-bench

60.5%vs65.8%

LiveBench

58.6%vs62.8%

GPQA Diamond

70.2%vs76.5%

DeepSeek Coder V2: 0WMoonshotAI: Kimi K2 0711: 5W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs85 tok/s

Time to first token

290 msvs240 ms

DeepSeek Coder V2: 0WMoonshotAI: Kimi K2 0711: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.3/1M

Input price

$0.14/1Mvs$0.57/1M

Context window

128kvs131k

DeepSeek Coder V2: 2WMoonshotAI: Kimi K2 0711: 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 AdvantageMoonshotAI: Kimi K2 0711 5/6

Preference Elo

MoonshotAI: Kimi K2 0711

100 pts advantage

Throughput Speed

MoonshotAI: Kimi K2 0711

10 tok/s faster

Price Efficiency

DeepSeek Coder V2

$2.02/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,465+7%

Code Elo

High is better

1,442

Code EloHigh is better

1,470+2%

LiveBench

High is better

58.6%

LiveBenchHigh is better

62.8%+7%

SWE-bench

High is better

60.5%

SWE-benchHigh is better

65.8%+9%

GPQA

High is better

70.2%

GPQAHigh is better

76.5%+9%

TTFT

Low is better

290 ms

TTFTLow is better

240 ms+21%

Speed

High is better

75 tok/s

SpeedHigh is better

85 tok/s+13%

In $

Low is better

+307%$0.14/1M

In $Low is better

$0.57/1M

Out $

Low is better

+721%$0.28/1M

Out $Low is better

$2.3/1M

Context

High is better

128k

ContextHigh is better

131k+2%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 83% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

MoonshotAI: Kimi K2 0711$54.45 / mo

In: $19.95Out: $34.50

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $45.35/month ($544/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
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
3
MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
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.

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

LiveBench62.8%

SWE-bench65.8%

Speed85 tok/s

Output cost$2.3/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?: 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, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?: MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 60.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?: MoonshotAI: Kimi K2 0711 has the lower time-to-first-token (240 ms vs 290 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?: DeepSeek Coder V2 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. DeepSeek Coder V2 and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All MoonshotAI: Kimi K2 0711 matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)DeepSeek V4 Flash vs MoonshotAI: Kimi K2 0711 DeepSeek V4 Pro vs MoonshotAI: Kimi K2 0711 Kimi K3 vs MoonshotAI: Kimi K2 0711

DeepSeek Coder V2 vs MoonshotAI: Kimi K2 0711 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (2)vsMoonshotAI: Kimi K2 0711 (8)

DeepSeek Coder V2: 2W (20%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 8W (80%)

← DeepSeek Coder V2MoonshotAI: Kimi K2 0711 →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,465

Coding Elo

1,442vs1,470

SWE-bench

60.5%vs65.8%

LiveBench

58.6%vs62.8%

GPQA Diamond

70.2%vs76.5%

DeepSeek Coder V2: 0WMoonshotAI: Kimi K2 0711: 5W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs85 tok/s

Time to first token

290 msvs240 ms

DeepSeek Coder V2: 0WMoonshotAI: Kimi K2 0711: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.3/1M

Input price

$0.14/1Mvs$0.57/1M

Context window

128kvs131k

DeepSeek Coder V2: 2WMoonshotAI: Kimi K2 0711: 1W

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
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, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?

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, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?

MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 60.5%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $2.3/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or MoonshotAI: Kimi K2 0711?

MoonshotAI: Kimi K2 0711 has the lower time-to-first-token (240 ms vs 290 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?

DeepSeek Coder V2 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. DeepSeek Coder V2 and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.