Compare/Claude 3.5 Sonnet (June '24) vs Kimi K3 (low)

Claude 3.5 Sonnet (June '24)vsKimi K3 (low)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Anthropic

Claude 3.5 Sonnet (June '24)

Input
$3/M
Output
$15/M
Speed
TTFT
Kimi

Kimi K3 (low)

Input
$3/M
Output
$15/M
Speed
36 tok/s
TTFT
2.82s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Kimi K3 (low)
Lower Latency
Kimi K3 (low)
Benchmarks (0-2)
Kimi K3 (low)

Pricing Comparison

MetricClaude 3.5 Sonnet (June '24)Kimi K3 (low)
Input ($/M tokens)$3$3
Output ($/M tokens)$15$15
Cost for 1M input + 100K output tokens:
Claude 3.5 Sonnet (June '24)$4.50
Kimi K3 (low)$4.50

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 3.5 Sonnet (June '24)
Kimi K3 (low)
36 tok/s
Time to First Token (seconds) — lower is better
Claude 3.5 Sonnet (June '24)
Kimi K3 (low)
2.82s

Editorial Analysis

Verdict. Kimi K3 (low) takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the premium bracket for output-token pricing. At 1.0× the per-million-token cost, Kimi K3 (low) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Kimi K3 (low) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Claude 3.5 Sonnet (June '24) is strongest on Coding Index (26.0), Intelligence Index (8.1). Kimi K3 (low) leads on Coding Index (72.0), Intelligence Index (48.3).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. Anthropic and Kimi sell to overlapping but distinct developer audiences: Anthropic tends to ship frontier reasoning models with premium positioning, while Kimi often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Claude 3.5 Sonnet (June '24) costs $315.00 ($3780/year); Kimi K3 (low) costs $315.00 ($3780/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Claude 3.5 Sonnet (June '24) ≈ $45.00/run, Kimi K3 (low) ≈ $45.00/run. At agent/realtime scale (200M input / 100M output per million requests): Claude 3.5 Sonnet (June '24) ≈ $2100/run, Kimi K3 (low) ≈ $2100/run.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.148.3
Coding Index
26.072.0
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Claude 3.5 Sonnet (June '24)0 wins
2 winsKimi K3 (low)

Frequently Asked Questions

Which is cheaper, Claude 3.5 Sonnet (June '24) or Kimi K3 (low)?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Kimi K3 (low) wins 2 out of 12 benchmarks compared to 0 for Claude 3.5 Sonnet (June '24). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Kimi K3 (low) generates tokens faster at 36 tok/s vs — tok/s. However, Kimi K3 (low) has lower time-to-first-token (2.82s vs —s).

When should I use Claude 3.5 Sonnet (June '24) vs Kimi K3 (low)?

Choose based on your priorities: both are similarly priced, Kimi K3 (low) for stronger benchmark performance, and Kimi K3 (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.