Head-to-head · multimodal vs multimodal

Claude 3.7 Sonnet Vision vs Kimi K1.5 Chat: which model should you choose?

We compared Claude 3.7 Sonnet Vision and Kimi K1.5 Chat on price, context window and 12 benchmarks. Claude 3.7 Sonnet Vision has the stronger average benchmark score; Kimi K1.5 Chat is cheaper on a blended 3:1 basis.

Anthropic

Claude 3.7 Sonnet Vision

Claude 3.7 Sonnet Vision is a multimodal model from Anthropic. It offers a 400,000-token context window, costs $13.96 per million input tokens and $56.28 per million output tokens, and averages 81.0 across the index's benchmark suite.

Input
$13.96 / 1M
Output
$56.28 / 1M
Context
400,000
Avg score
81.0
Open weights
No
Full Claude 3.7 Sonnet Vision page
Moonshot AI

Kimi K1.5 Chat

Kimi K1.5 Chat is a multimodal model from Moonshot AI. It offers a 128,000-token context window, costs $5.11 per million input tokens and $26.59 per million output tokens, and averages 80.2 across the index's benchmark suite.

Input
$5.11 / 1M
Output
$26.59 / 1M
Context
128,000
Avg score
80.2
Open weights
Yes
Full Kimi K1.5 Chat page

Specification comparison

SpecClaude 3.7 Sonnet VisionKimi K1.5 ChatEdge
Input price / 1M$13.96$5.11B
Output price / 1M$56.28$26.59B
Context window400,000128,000A
Max output8,19232,768B
Average score81.080.2A
Arena Elo1429.61422.6A
Open weightsNoYesB

Benchmark comparison

Claude 3.7 Sonnet Vision wins 8, Kimi K1.5 Chat wins 3, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 Sonnet VisionKimi K1.5 ChatGapWinner
MMLU-Pro82.581.31.2Claude 3.7 Sonnet Vision
GPQA Diamond77.378.10.8Kimi K1.5 Chat
SWE-bench Verified72.269.92.3Claude 3.7 Sonnet Vision
HumanEval85.484.31.1Claude 3.7 Sonnet Vision
MATH-50084.881.73.1Claude 3.7 Sonnet Vision
AIME 202580.981.40.5Kimi K1.5 Chat
LiveCodeBench75.775.70.0Tie
IFEval87.988.20.3Kimi K1.5 Chat
TruthfulQA81.680.31.3Claude 3.7 Sonnet Vision
HellaSwag89.487.22.2Claude 3.7 Sonnet Vision
MMMU73.873.60.2Claude 3.7 Sonnet Vision
Arena Elo1429.61422.67.0Claude 3.7 Sonnet Vision

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Vision costs about $24.54 per million tokens and Kimi K1.5 Chat costs about $10.48. Kimi K1.5 Chat is roughly 57% cheaper than Claude 3.7 Sonnet Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Claude 3.7 Sonnet Vision has the larger context window at 400,000 tokens, compared with 128,000 for Kimi K1.5 Chat. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude 3.7 Sonnet Vision wins 8, Kimi K1.5 Chat wins 3, and 1 are tied. On the index average, Claude 3.7 Sonnet Vision leads Kimi K1.5 Chat by 0.8 points (81.0 versus 80.2).

The price picture favours Kimi K1.5 Chat. The context picture favours Claude 3.7 Sonnet Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Claude 3.7 Sonnet Vision for quality-sensitive work and Kimi K1.5 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude 3.7 Sonnet Vision if

  • You want the higher average benchmark score in this index.
  • You need the larger 400,000-token context window.

Choose Kimi K1.5 Chat if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 32,768-token output limit.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Claude 3.7 Sonnet Vision better than Kimi K1.5 Chat?

On the index average, Claude 3.7 Sonnet Vision leads Kimi K1.5 Chat by 0.8 points (81.0 versus 80.2). The better choice depends on price, context and your task. Claude 3.7 Sonnet Vision wins 8 benchmarks, Kimi K1.5 Chat wins 3.

Which is cheaper, Claude 3.7 Sonnet Vision or Kimi K1.5 Chat?

Kimi K1.5 Chat is cheaper on a blended 3:1 basis at about $10.48 per million tokens, versus $24.54 for Claude 3.7 Sonnet Vision.

Which has the larger context window?

Claude 3.7 Sonnet Vision has the larger context window at 400,000 tokens. Kimi K1.5 Chat has 128,000 tokens.

Are these models open weights?

Claude 3.7 Sonnet Vision is proprietary; Kimi K1.5 Chat is open weights.

Which should I choose for production?

If you need a single default, start with Claude 3.7 Sonnet Vision for quality-sensitive work and Kimi K1.5 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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