Model Comparison

GLM-4.7-Flash vs Kimi K3Which is better in 2026?

Kimi K3 significantly outperforms across most benchmarks. GLM-4.7-Flash is 39.3x cheaper per token.

Verdict: GLM-4.7-Flash vs Kimi K3 — which is better?

GLM-4.7-Flash (by Zhipu AI) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.7-Flash outperforms in 0 benchmarks, while Kimi K3 is better at 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam). Kimi K3 significantly outperforms across most benchmarks.

On price, GLM-4.7-Flash is roughly 39.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-4.7-Flash if…

  • cost matters — it's about 39.3x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Kimi K3 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.7-Flash outperforms in 0 benchmarks, while Kimi K3 is better at 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam).

Kimi K3 significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 42.9x cheaper than Kimi K3 ($3.00/1M tokens).

For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 37.5x cheaper than Kimi K3 ($15.00/1M tokens).

In conclusion, Kimi K3 is more expensive than GLM-4.7-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
Moonshot AI
Kimi K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

2770.0B diff

Kimi K3 has 2770.0B more parameters than GLM-4.7-Flash, making it 9233.3% larger.

Zhipu AI
GLM-4.7-Flash
30.0Bparameters
Moonshot AI
Kimi K3
2.8Tparameters
30.0B
GLM-4.7-Flash
2800.0B
Kimi K3

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K3 supports multimodal inputs, whereas GLM-4.7-Flash does not.

Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.7-Flash

Text
Images
Audio
Video

Kimi K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 6 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

6 months ago

Kimi K3

Jul 16, 2026

5 days ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-4.7-Flash is available from ZAI. Kimi K3 is available from Moonshot AI.

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher BrowseComp score (91.2% vs 42.8%)
Higher GPQA score (93.5% vs 75.2%)
Higher Humanity's Last Exam score (56.0% vs 14.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-4.7-Flash and Kimi K3 side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.7-Flash
Moonshot AI
Kimi K3

FAQ

Common questions about GLM-4.7-Flash vs Kimi K3.

Which is better, GLM-4.7-Flash or Kimi K3?

Kimi K3 significantly outperforms across most benchmarks. GLM-4.7-Flash is made by Zhipu AI and Kimi K3 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.7-Flash compare to Kimi K3 in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

Is GLM-4.7-Flash cheaper than Kimi K3?

GLM-4.7-Flash is 42.9x cheaper for input tokens. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot.

What are the context window sizes for GLM-4.7-Flash and Kimi K3?

GLM-4.7-Flash supports 128K tokens and Kimi K3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.7-Flash and Kimi K3?

Key differences include context window (128K vs 1.0M), input pricing ($0.07 vs $3.00/M), multimodal support (no vs yes), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and Kimi K3?

GLM-4.7-Flash is developed by Zhipu AI and Kimi K3 is developed by Moonshot AI.