Pairwise benchmark snapshot · Aug 16, 2026

MoonshotAI: Kimi K2 0711 vs OpenAI: o3 Mini benchmark

Name: MoonshotAI: Kimi K2 0711 vs OpenAI: o3 Mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MoonshotAI: Kimi K2 0711 (Moonshot) and OpenAI: o3 Mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o3 Mini is ahead by 95 points (1,560 vs 1,465; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, OpenAI: o3 Mini resolves 78.5% versus 65.8% (seed-bootstrap (Aug 1, 2026)). OpenAI: o3 Mini streams faster (92 tok/s) while MoonshotAI: Kimi K2 0711 is the cheaper output token ($2.3/1M). OpenAI: o3 Mini has the larger context window (200k 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.

Elo 1,465$2.3/1M out

OpenAI

OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

Elo 1,560$4.4/1M out

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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 (3)vsOpenAI: o3 Mini (7)

MoonshotAI: Kimi K2 0711: 3W (30%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 7W (70%)

← MoonshotAI: Kimi K2 0711OpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,560

Coding Elo

1,470vs1,585

SWE-bench

65.8%vs78.5%

LiveBench

62.8%vs72.4%

GPQA Diamond

76.5%vs87.2%

MoonshotAI: Kimi K2 0711: 0WOpenAI: o3 Mini: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs92 tok/s

Time to first token

240 msvs290 ms

MoonshotAI: Kimi K2 0711: 1WOpenAI: o3 Mini: 1W

MoonshotAI: Kimi K2 0711 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$4.4/1M

Input price

$0.57/1Mvs$1.1/1M

Context window

131kvs200k

MoonshotAI: Kimi K2 0711: 2WOpenAI: o3 Mini: 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 AdvantageOpenAI: o3 Mini 4/6

Preference Elo

OpenAI: o3 Mini

95 pts advantage

Throughput Speed

OpenAI: o3 Mini

7 tok/s faster

Price Efficiency

MoonshotAI: Kimi K2 0711

$2.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,465

EloHigh is better

1,560+6%

Code Elo

High is better

1,470

Code EloHigh is better

1,585+8%

LiveBench

High is better

62.8%

LiveBenchHigh is better

72.4%+15%

SWE-bench

High is better

65.8%

SWE-benchHigh is better

78.5%+19%

GPQA

High is better

76.5%

GPQAHigh is better

87.2%+14%

TTFT

Low is better

+21%240 ms

TTFTLow is better

290 ms

Speed

High is better

85 tok/s

SpeedHigh is better

92 tok/s+8%

In $

Low is better

+93%$0.57/1M

In $Low is better

$1.1/1M

Out $

Low is better

+91%$2.3/1M

Out $Low is better

$4.4/1M

Context

High is better

131k

ContextHigh is better

200k+53%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 48% 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: $34.50

OpenAI: o3 Mini$104.50 / mo

In: $38.50Out: $66.00

Estimated Cost Delta

MoonshotAI: Kimi K2 0711 is estimated to save $50.05/month ($601/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o3 Mini:Pick OpenAI: o3 Mini when repo-level coding accuracy is the constraint.
2
MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 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 agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

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 RAGOpenAI: o3 Mini

Larger window (200k).

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	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
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	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

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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

OpenAI

OpenAI: o3 Mini

Elo 1,560

LiveBench72.4%

SWE-bench78.5%

Speed92 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or OpenAI: o3 Mini?: OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, MoonshotAI: Kimi K2 0711 or OpenAI: o3 Mini?: OpenAI: o3 Mini leads SWE-bench at 78.5% vs 65.8%. 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 $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, MoonshotAI: Kimi K2 0711 or OpenAI: o3 Mini?: 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?: OpenAI: o3 Mini accepts 200k tokens versus 131k.
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. MoonshotAI: Kimi K2 0711 and OpenAI: o3 Mini 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 OpenAI: o3 Mini matchups →

MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)Kimi K3 vs OpenAI: o3 Mini GPT-4.5 Orion vs OpenAI: o3 Mini

MoonshotAI: Kimi K2 0711 vs OpenAI: o3 Mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MoonshotAI: Kimi K2 0711 (3)vsOpenAI: o3 Mini (7)

MoonshotAI: Kimi K2 0711: 3W (30%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 7W (70%)

← MoonshotAI: Kimi K2 0711OpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,560

Coding Elo

1,470vs1,585

SWE-bench

65.8%vs78.5%

LiveBench

62.8%vs72.4%

GPQA Diamond

76.5%vs87.2%

MoonshotAI: Kimi K2 0711: 0WOpenAI: o3 Mini: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs92 tok/s

Time to first token

240 msvs290 ms

MoonshotAI: Kimi K2 0711: 1WOpenAI: o3 Mini: 1W

MoonshotAI: Kimi K2 0711 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$4.4/1M

Input price

$0.57/1Mvs$1.1/1M

Context window

131kvs200k

MoonshotAI: Kimi K2 0711: 2WOpenAI: o3 Mini: 1W

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

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 RAGOpenAI: o3 Mini

Larger window (200k).

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	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
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	OpenAI: o3 Mini	Larger window (200k).
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 OpenAI: o3 Mini?

OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, MoonshotAI: Kimi K2 0711 or OpenAI: o3 Mini?

OpenAI: o3 Mini leads SWE-bench at 78.5% vs 65.8%. 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 $4.4/1M. Input prices and retry rates still move the real bill.

Which is faster, MoonshotAI: Kimi K2 0711 or OpenAI: o3 Mini?

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?

OpenAI: o3 Mini accepts 200k tokens versus 131k.

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. MoonshotAI: Kimi K2 0711 and OpenAI: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.