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Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. MoonshotAI: Kimi K2 0711 vs MiniMax: MiniMax M1
Independent ReportPairwise benchmark snapshot · Aug 17, 2026
noindex (thin pair)
MoonshotAI: Kimi K2 0711(Moonshot)
vs
MiniMax: MiniMax M1(MiniMax)

MoonshotAI: Kimi K2 0711 vs MiniMax: MiniMax M1 benchmark

In this head-to-head showdown, MiniMax: MiniMax M1 is more budget-friendly at $2.2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose MoonshotAI: Kimi K2 0711 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose MiniMax: MiniMax M1 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

MiniMax: MiniMax M1 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
MoonshotAI: Kimi K2 0711Top code solve rate
ReasoningGPQA / Live
MoonshotAI: Kimi K2 0711Top logical accuracy
Best Value$/1M Tok
MiniMax: MiniMax M1Lowest API billing cost
Speed / TokTok/Sec
MoonshotAI: Kimi K2 0711Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

MoonshotAI: Kimi K2 0711 (0)MiniMax: MiniMax M1 (3)
MoonshotAI: Kimi K2 0711
0 of 3 Wins
Competitive baseline across remaining benchmarks
MiniMax: MiniMax M1
3 of 3 Wins
✓Input price✓Output price✓Context window
Moonshot
MoonshotAI: Kimi K2 0711

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

K2 BaseElo 1,465In: $0.57 · Out: $2.3/1M
MiniMax
Leads 3 of 3
MiniMax: MiniMax M1

Auto-discovered from OpenRouter (minimax/minimax-m1). Preview until a second source matches.

In: $0.55 · Out: $2.2/1M

Kimi Series Lineage & Sibling Variants

4 models

Currently comparing MoonshotAI: Kimi K2 0711 vs MiniMax: MiniMax M1. Alternative family tiers available.

Active: MoonshotAI: Kimi K2 0711
Kimi K3$15MoonshotAI: Kimi K2.5$2.85Kimi Chat 1.5$0.8
Top Rival Showdowns for MoonshotAI: Kimi K2 0711
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMiniMax: MiniMax M1 Wins

MiniMax: MiniMax M1

$2.2 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

MoonshotAI: Kimi K2 0711 (7)vsMiniMax: MiniMax M1 (3)
MoonshotAI: Kimi K2 0711: 7W (70%)Overall: MoonshotAI: Kimi K2 0711MiniMax: MiniMax M1: 3W (30%)
← MoonshotAI: Kimi K2 0711MiniMax: MiniMax M1 →
🏆MoonshotAI: Kimi K2 0711 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
MoonshotAI: Kimi K2 0711vsMiniMax: MiniMax M1
Preference Elo
1,465vs—
Coding Elo
1,470vs—
SWE-bench
65.8%vs—
LiveBench
62.8%vs—
GPQA Diamond
76.5%vs—
MoonshotAI: Kimi K2 0711: 5WMiniMax: MiniMax M1: 0W
🏆MoonshotAI: Kimi K2 0711 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
MoonshotAI: Kimi K2 0711vsMiniMax: MiniMax M1
Output speed
85 tok/svs—
Time to first token
240 msvs—
MoonshotAI: Kimi K2 0711: 2WMiniMax: MiniMax M1: 0W
🏆MiniMax: MiniMax M1 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
MoonshotAI: Kimi K2 0711vsMiniMax: MiniMax M1
Output price
$2.3/1Mvs$2.2/1M+$0.1/1M
Input price
$0.57/1Mvs$0.55/1M+$0.02/1M
Context window
131kvs1M+869k
MoonshotAI: Kimi K2 0711: 0WMiniMax: MiniMax M1: 3W

Side-by-Side Benchmark Matrix

MoonshotAI: Kimi K2 0711MiniMax: MiniMax M1
Preference Elo
MoonshotAI: Kimi K2 07111,465
MiniMax: MiniMax M1—
Coding Elo
MoonshotAI: Kimi K2 07111,470
MiniMax: MiniMax M1—
LiveBench
MoonshotAI: Kimi K2 071162.8%
MiniMax: MiniMax M1—
SWE-bench
MoonshotAI: Kimi K2 071165.8%
MiniMax: MiniMax M1—
GPQA Diamond
MoonshotAI: Kimi K2 071176.5%
MiniMax: MiniMax M1—
Time to first token
MoonshotAI: Kimi K2 0711240 ms
MiniMax: MiniMax M1—
Output speed
MoonshotAI: Kimi K2 071185 tok/s
MiniMax: MiniMax M1—
Input priceMiniMax: MiniMax M1 +$0.02/1M
MoonshotAI: Kimi K2 0711$0.57/1M
MiniMax: MiniMax M1$0.55/1M
Output priceMiniMax: MiniMax M1 +$0.1/1M
MoonshotAI: Kimi K2 0711$2.3/1M
MiniMax: MiniMax M1$2.2/1M
Context windowMiniMax: MiniMax M1 +869k
MoonshotAI: Kimi K2 0711131k
MiniMax: MiniMax M11M
BenchmarkMoonshotAI: Kimi K2 0711MiniMax: MiniMax M1Advantage Delta
Preference Elo
1,465
lmarena · Aug 17, 2026
——
Coding Elo
1,470
lmarena · Aug 17, 2026
——
LiveBench
62.8%
livebench · Aug 17, 2026
——
SWE-bench
65.8%
swebench · Aug 17, 2026
——
GPQA Diamond
76.5%
seed-bootstrap · Aug 1, 2026
——
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
85 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.57/1M
openrouter · Aug 17, 2026
$0.55/1M
openrouter · Aug 17, 2026
+$0.02/1M
Output price
$2.3/1M
openrouter · Aug 17, 2026
$2.2/1M
openrouter · Aug 17, 2026
+$0.1/1M
Context window
131k
openrouter · Aug 17, 2026
1M
openrouter · Aug 17, 2026
+869k

Workload Cost & Savings Calculator

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

Save 4% with MiniMax: MiniMax M1
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
MiniMax: MiniMax M1$52.25 / mo
In: $19.25Out: $33
Estimated Cost Delta

MiniMax: MiniMax M1 is estimated to save $2.20/month ($26/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MiniMax: MiniMax M1:Pick MiniMax: MiniMax M1 when you are optimizing output cost.
  • 2
    MiniMax: MiniMax M1:Pick MiniMax: MiniMax M1 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M1

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M1

Larger window (1M).

Screenshots / visionMoonshotAI: Kimi K2 0711

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMiniMax: MiniMax M1Lower output list price ($2.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGMiniMax: MiniMax M1Larger window (1M).
Screenshots / visionMoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465
SWE-bench65.8%
Speed (tok/s)85 tok/s
Input / 1M Tokens$0.57/1M
Output / 1M Tokens$2.3/1M
MiniMax

MiniMax: MiniMax M1

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$0.55/1M
Output / 1M Tokens$2.2/1M

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or MiniMax: MiniMax M1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, MoonshotAI: Kimi K2 0711 or MiniMax: MiniMax M1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
MiniMax: MiniMax M1 output tokens are $2.2/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, MoonshotAI: Kimi K2 0711 or MiniMax: MiniMax M1?
We do not have TTFT for both models.
Which has the larger context window?
MiniMax: MiniMax M1 accepts 1M 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 MiniMax: MiniMax M1 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 MiniMax: MiniMax M1 matchups →
MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Kimi K3 vs MoonshotAI: Kimi K2 0711MiniMax M2.5 vs MoonshotAI: Kimi K2 0711Doubao Pro 1.5 vs MoonshotAI: Kimi K2 0711Mistral Large 3 vs MoonshotAI: Kimi K2 0711