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GLM-5.3 vs Kimi K2 0905

Comparing GLM-5.3 and Kimi K2 0905 across benchmarks, pricing, and capabilities.

Zhipu AI · Moonshot AI · Updated for 2026

Which is better?

GLM-5.3 and Kimi K2 0905 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Kimi K2 0905 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Kimi K2 0905

  • cost matters — it's about 2.0x cheaper per token

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Kimi K2 0905
Moonshot AI
Benchmark wins
—
—
Input price
$1.40 / M
$0.60 / M
Output price
$4.40 / M
$2.50 / M
Context window
1,000,000
262,144
Released
Aug 2026
Sep 2025
License
Unknown
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Kimi K2 0905don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Kimi K2 0905 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 2.3x more expensive than Kimi K2 0905 ($0.60/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 1.8x more expensive than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, GLM-5.3 is more expensive than Kimi K2 0905.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

247.0B diff

Kimi K2 0905 has 247.0B more parameters than GLM-5.3, making it 32.8% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Moonshot AI
Kimi K2 0905
1.0Tparameters
753.0B
GLM-5.3
1000.0B
Kimi K2 0905

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Kimi K2 0905's 262,144 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Kimi K2 0905 was released on 2025-09-05.

GLM-5.3 is 11 months newer than Kimi K2 0905.

GLM-5.3

Aug 14, 2026

1 weeks ago

11mo newer
Kimi K2 0905

Sep 5, 2025

11 months ago

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-5.3 is available from ZAI. Kimi K2 0905 is available from Novita.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and Kimi K2 0905 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Kimi K2 0905
Open in Playground

FAQ

Common questions about GLM-5.3 vs Kimi K2 0905.

Which is better, GLM-5.3 or Kimi K2 0905?

GLM-5.3 (Zhipu AI) and Kimi K2 0905 (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to Kimi K2 0905 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is GLM-5.3 cheaper than Kimi K2 0905?

Kimi K2 0905 is 2.3x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

What are the context window sizes for GLM-5.3 and Kimi K2 0905?

GLM-5.3 supports 1.0M tokens and Kimi K2 0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Kimi K2 0905?

Key differences include context window (1.0M vs 262K), input pricing ($1.40 vs $0.60/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Kimi K2 0905?

GLM-5.3 is developed by Zhipu AI and Kimi K2 0905 is developed by Moonshot AI.

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