Skip to content

Gemini 3.6 Flash vs GLM 5.2

Gemini 3.6 Flash

Google

80#56
vs
GLM 5.2

Zhipu AI

79#65
Signal-by-Signal Comparison
SignalGemini 3.6 FlashDeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
78
-3
81
Pricing
93
-5
98
Context window size
96
--
96
Recency
100
--
100
Output Capacity
80
-10
90
Overall Result
1 wins
of 6
3 wins
GLM 5.2 wins 3 of 6 signals

Score History

Score History (8 data points)
Gemini 3.6 FlashGLM 5.2
Gemini 3.6 Flash

79.7

current score

Leader

Gemini 3.6 Flash

right now

GLM 5.2

78.5

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.6 Flash

Google

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

GLM 5.2

Zhipu AI

Best Value
Per request$0.001970
Daily$6.57
Monthly$197.00
Annual$2364.00

GLM 5.2 saves you $328.00/month

That's $3936.00/year compared to Gemini 3.6 Flash at your current usage level of 100K calls/month.

62% cheaper
Choose GLM 5.2 for cost optimization

Gemini 3.6 Flash pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
GLM 5.2 pricing:
Input:$0.76/M tokens
Output:$2.42/M tokens
Winner
Gemini 3.6 Flash

Google

80

Composite Score

GLM 5.2

Zhipu AI

79

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 FlashGLM 5.2Winner
Overall Score
80
79
Gemini 3.6 Flash
Rank#56#65
Gemini 3.6 Flash
Quality Rank#56#65
Gemini 3.6 Flash
Adoption Rank#56#65
Gemini 3.6 Flash
Parameters------
Context Window1049K1049K--
Pricing$1.50/$7.50/M$0.76/$2.42/M--
Signal Scores
Capabilities
100
67
Gemini 3.6 Flash
Benchmarks
78
81
GLM 5.2
Pricing
93
98
GLM 5.2
Context window size
96
96
Gemini 3.6 Flash
Recency
100
100
Gemini 3.6 Flash
Output Capacity
80
90
GLM 5.2
Benchmark Head-to-Head(2 benchmarks)
Gemini 3.6: 1GLM 5.2: 0
Gemini 3.6
GLM 5.2
Normalized 0-100%
MMLU-Pro
-86%
Arena Elo
14831457
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.6 FlashStrong Performer

Scores 80/100 (rank #56), placing it in the top 81% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2Strong Performer

Scores 79/100 (rank #65), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 3.6 Flash when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5.2 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemini 3.6 Flash
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.113
Est. monthly (1M tokens/day)$135.00
GLM 5.2Best Value
Input cost$0.76/M tokens
Output cost$2.42/M tokens
Cost per quality point$0.041
Est. monthly (1M tokens/day)$47.70

GLM 5.2 offers 65% better value per quality point. At 1M tokens/day, you'd spend $47.70/month with GLM 5.2 vs $135.00/month with Gemini 3.6 Flash - a $87.30 monthly difference.

Latency & Speed
Gemini 3.6 FlashFaster
Speed score0/100
GLM 5.2
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.6 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 also offers lower per-token costs for high-volume support

Gemini 3.6 Flash

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.6 Flash

Batch data extraction

Lower output pricing ($2.42/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.6 Flash

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.6 Flash
Which Should You Choose?
Our recommendation:
Gemini 3.6 Flash

Gemini 3.6 Flash and GLM 5.2 are extremely close in overall performance (only 1.2000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Gemini 3.6 Flash
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Zhipu AI

  • Choose for Cost - 65% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 FlashGLM 5.2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.6 Flash

Google

$11.70
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$4.27
estimated monthly cost

GLM 5.2 saves you $7.43/month

That's 63% cheaper than Gemini 3.6 Flash at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.6 FlashGLM 5.2
Context Window1.0M1.0M
Max Output Tokens65,536262,144
Open SourceNoYes
CreatedJul 21, 2026Jun 16, 2026
Last updated: 54m ago

相关对比

Gemini 3.6 Flash vs GLM 5.2 (2026) | LM Market Cap