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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. Anthropic: Claude Opus 4.7 (batch) vs MoonshotAI: Kimi K2 0711

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic: Claude Opus 4.7 (batch) vs MoonshotAI: Kimi K2 0711 benchmark

In this head-to-head showdown, MoonshotAI: Kimi K2 0711 is more budget-friendly at $2.3/1M 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 Anthropic: Claude Opus 4.7 (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose MoonshotAI: Kimi K2 0711 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Anthropic
Anthropic: Claude Opus 4.7 (batch)

Auto-discovered from OpenRouter (anthropic/claude-opus-4.7:batch). Preview until a second source matches.

$12.5/1M out
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
Top Rival Showdowns for Anthropic: Claude Opus 4.7 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

MoonshotAI: Kimi K2 0711

$2.3 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

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
Head-to-Head Comparison

Overall Matchup Breakdown

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

Anthropic: Claude Opus 4.7 (batch) (1)vsMoonshotAI: Kimi K2 0711 (9)
Anthropic: Claude Opus 4.7 (batch): 1W (10%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 9W (90%)
← Anthropic: Claude Opus 4.7 (batch)MoonshotAI: Kimi K2 0711 →
MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,465
Coding Elo
—vs1,470
SWE-bench
—vs65.8%
LiveBench
—vs62.8%
GPQA Diamond
—vs76.5%
Anthropic: Claude Opus 4.7 (batch): 0WMoonshotAI: Kimi K2 0711: 5W
MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs85 tok/s
Time to first token
—vs240 ms
Anthropic: Claude Opus 4.7 (batch): 0WMoonshotAI: Kimi K2 0711: 2W
MoonshotAI: Kimi K2 0711 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$12.5/1Mvs$2.3/1M
Input price
$2.5/1Mvs$0.57/1M
Context window
1Mvs131k
Anthropic: Claude Opus 4.7 (batch): 1WMoonshotAI: Kimi K2 0711: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 07111,465
lmarena · Aug 17, 2026
Coding Elo
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 07111,470
lmarena · Aug 17, 2026
LiveBench
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 071162.8%
livebench · Aug 17, 2026
SWE-bench
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 071165.8%
swebench · Aug 17, 2026
GPQA Diamond
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 071176.5%
seed-bootstrap · Aug 1, 2026
Time to first token
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 0711240 ms
seed-bootstrap · Aug 1, 2026
Output speed
Anthropic: Claude Opus 4.7 (batch)—
MoonshotAI: Kimi K2 071185 tok/s
seed-bootstrap · Aug 1, 2026
Input priceMoonshotAI: Kimi K2 0711 (+$1.93/1M)
Anthropic: Claude Opus 4.7 (batch)$2.5/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711$0.57/1M
openrouter · Aug 17, 2026
Output priceMoonshotAI: Kimi K2 0711 (+$10.2/1M)
Anthropic: Claude Opus 4.7 (batch)$12.5/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711$2.3/1M
openrouter · Aug 17, 2026
Context windowAnthropic: Claude Opus 4.7 (batch) (+869k)
Anthropic: Claude Opus 4.7 (batch)1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711131k
openrouter · Aug 17, 2026
BenchmarkAnthropic: Claude Opus 4.7 (batch)MoonshotAI: Kimi K2 0711Advantage 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
$2.5/1M
openrouter · Aug 17, 2026
$0.57/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711 (+$1.93/1M)
Output price
$12.5/1M
openrouter · Aug 17, 2026
$2.3/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711 (+$10.2/1M)
Context window
1M
openrouter · Aug 17, 2026
131k
openrouter · Aug 17, 2026
Anthropic: Claude Opus 4.7 (batch) (+869k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 80% 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)
Anthropic: Claude Opus 4.7 (batch)$275.00 / mo
In: $87.5Out: $187.5
MoonshotAI: Kimi K2 0711$54.45 / mo
In: $19.95Out: $34.5
Estimated Cost Delta

MoonshotAI: Kimi K2 0711 is estimated to save $220.55/month ($2,647/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 when you are optimizing output cost.
  • 2
    Anthropic: Claude Opus 4.7 (batch):Pick Anthropic: Claude Opus 4.7 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMoonshotAI: Kimi K2 0711

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Opus 4.7 (batch)

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 chatMoonshotAI: Kimi K2 0711Lower output list price ($2.3/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic: Claude Opus 4.7 (batch)Larger window (1M).
Screenshots / visionMoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Anthropic: Claude Opus 4.7 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$12.5/1M
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, Anthropic: Claude Opus 4.7 (batch) or MoonshotAI: Kimi K2 0711?
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, Anthropic: Claude Opus 4.7 (batch) or MoonshotAI: Kimi K2 0711?
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?
MoonshotAI: Kimi K2 0711 output tokens are $2.3/1M versus $12.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Opus 4.7 (batch) or MoonshotAI: Kimi K2 0711?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic: Claude Opus 4.7 (batch) 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. Anthropic: Claude Opus 4.7 (batch) 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 Anthropic: Claude Opus 4.7 (batch) matchups →|All MoonshotAI: Kimi K2 0711 matchups →
MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Claude Opus 4.5 vs MoonshotAI: Kimi K2 0711Claude Opus 4.6 vs MoonshotAI: Kimi K2 0711Claude Sonnet 4.5 vs MoonshotAI: Kimi K2 0711Kimi K3 vs MoonshotAI: Kimi K2 0711