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Comparison · AI Models & LLMs

GLM-4.6 vs GLM-5

The same method as our rankings: scores from the engine, sourced data, verified prices.

★ Winner
Z.ai GLM-4.6 — drawn card, not a photograph of the product

GLM-4.6

Z.ai

Full sheet →

74.6/100

SWE-bench accuracy
68.2%
Context window
200k tokens
Maximum output
128k tokens
Input cost per 1M tokens
$0.60
Z.ai GLM-5 — drawn card, not a photograph of the product

GLM-5

Z.ai

Full sheet →

71.3/100

SWE-bench accuracy
72.8%
Context window
200k tokens
Maximum output
128k tokens
Input cost per 1M tokens
$1.00

The verdicttake the GLM-4.6, it leads in 2 of 4 areas — above all on Input cost per 1M tokens.

The other one stays ahead on SWE-bench Verified (resolved %).

  • GLM-4.6 better for: Input cost per 1M tokens, Output cost per 1M tokens
  • GLM-5 better for: SWE-bench Verified (resolved %)

Basis: 6 measured differences across 9 compared characteristics. The scores come from the ranking engine.

The numbers side by side

Each bar is the product's verified figure; on every row the longer bar is the higher of the two values.

  • SWE-bench accuracyhigher is better
    GLM-4.668.2%
    GLM-572.8%
  • Context windowhigher is better
    GLM-4.6200k tokens
    GLM-5200k tokens
  • Maximum outputhigher is better
    GLM-4.6128k tokens
    GLM-5128k tokens
  • Input cost per 1M tokenslower is better
    GLM-4.6$0.60
    GLM-5$1.00
  • Cached input cost per 1M tokenslower is better
    GLM-4.6$0.11
    GLM-5$0.20
  • Output cost per 1M tokenslower is better
    GLM-4.6$2.20
    GLM-5$3.20

Who wins where

  • For codingGLM-5SWE-bench accuracy
  • Cheaper to readGLM-4.6Input cost per 1M tokens
  • Cheaper to writeGLM-4.6Output cost per 1M tokens

Data sheet side by side

Performance

SWE-bench accuracy68.2%✓72.8%6.7% more

Memory and answer length

Context window200k tokens200k tokens
Maximum output128k tokens128k tokens

API prices

Input cost per 1M tokens✓$0.6040% less$1.00
Cached input cost per 1M tokens✓$0.1145% less$0.20
Output cost per 1M tokens✓$2.2031% less$3.20

Size and openness

Parameters357 billion744 billion
Active parameters per tokenNot stated40 billion
Open weights (downloadable)YesYes

What a month costs

Change the volumes: the cost is worked out from the verified list prices above.

GLM-4.6$2.30per month · $27.60 per yearThe cheaper one — you save $1.30 per month
GLM-5$3.60per month · $43.20 per year

The scenarios are only starting points to edit, not data about your use. List prices without discounts, time-of-day rates or taxes.

Questions and answers

For coding: GLM-4.6 or GLM-5?

GLM-5: 72.8% against 68.2% (SWE-bench accuracy).

Cheaper to read: GLM-4.6 or GLM-5?

GLM-4.6: $0.60 against $1.00 (Input cost per 1M tokens).

Cheaper to write: GLM-4.6 or GLM-5?

GLM-4.6: $2.20 against $3.20 (Output cost per 1M tokens).

Area by area

The same yardstick for both: the engine's score out of 100 on every criterion of the profile.

  • SWE-bench Verified (resolved %)
    9096
  • Context window
    2020
  • Output cost per 1M tokens
    10069
  • Input cost per 1M tokens
    10060
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