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Gemini 3.6 Flash (batch) vs GLM 4.7 Flash

vs
GLM 4.7 Flash

Zhipu AI

64#199
Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaGLM 4.7 Flash
Capabilities
100
+33
67
Benchmarks
78
+16
62
Pricing
96
-3
100
Context window size
96
+11
84
Recency
100
+4
96
Output Capacity
80
+10
70
Overall Result
5 wins
of 6
1 wins
Gemini 3.6 Flash (batch) wins 5 of 6 signals

Score History

Score History (21 data points)
Gemini 3.6 Flash (batch)GLM 4.7 Flash
Gemini 3.6 Flash (batch)

80

current score

Leader

Gemini 3.6 Flash (batch)

right now

GLM 4.7 Flash

63.7

current score

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

Gemini 3.6 Flash (batch)

Google

Per request$0.002625
Daily$8.75
Monthly$262.50
Annual$3150.00

GLM 4.7 Flash

Zhipu AI

Best Value
Per request$0.000260
Daily$0.87
Monthly$26.00
Annual$312.00

GLM 4.7 Flash saves you $236.50/month

That's $2838.00/year compared to Gemini 3.6 Flash (batch) at your current usage level of 100K calls/month.

90% cheaper
Choose GLM 4.7 Flash for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
GLM 4.7 Flash pricing:
Input:$0.06/M tokens
Output:$0.40/M tokens
Winner
Gemini 3.6 Flash (batch)

Google

80

Composite Score

GLM 4.7 Flash

Zhipu AI

64

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)GLM 4.7 FlashWinner
Overall Score
80
64
Gemini 3.6 Flash (batch)
Rank#92#199
Gemini 3.6 Flash (batch)
Quality Rank#92#199
Gemini 3.6 Flash (batch)
Adoption Rank#92#199
Gemini 3.6 Flash (batch)
Parameters------
Context Window1049K203K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$0.06/$0.40/M--
Signal Scores
Capabilities
100
67
Gemini 3.6 Flash (batch)
Benchmarks
78
62
Gemini 3.6 Flash (batch)
Pricing
96
100
GLM 4.7 Flash
Context window size
96
84
Gemini 3.6 Flash (batch)
Recency
100
96
Gemini 3.6 Flash (batch)
Output Capacity
80
70
Gemini 3.6 Flash (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.6: 1GLM 4.7: 0
Gemini 3.6
GLM 4.7
Normalized 0-100%
Arena Elo
14851368
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 Flash (batch)Strong Performer

Scores 80/100 (rank #92), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 4.7 FlashCompetitive

Scores 64/100 (rank #199), placing it in the top 32% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.6 Flash (batch) has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.6 Flash (batch) when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 4.7 Flash 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 (batch)
Input cost$0.75/M tokens
Output cost$3.75/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$67.50
GLM 4.7 FlashBest Value
Input cost$0.06/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$6.90

GLM 4.7 Flash offers 90% better value per quality point. At 1M tokens/day, you'd spend $6.90/month with GLM 4.7 Flash vs $67.50/month with Gemini 3.6 Flash (batch) - a $60.60 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
GLM 4.7 Flash
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 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 4.7 Flash also offers lower per-token costs for high-volume support

Gemini 3.6 Flash (batch)

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)

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GLM 4.7 Flash

Creative writing & content

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

Gemini 3.6 Flash (batch)

Image understanding & OCR

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

Gemini 3.6 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.6 Flash (batch)

Gemini 3.6 Flash (batch) clearly outperforms GLM 4.7 Flash with a significant 16.299999999999997-point lead. For most general use cases, Gemini 3.6 Flash (batch) is the stronger choice. However, GLM 4.7 Flash may still excel in niche scenarios.

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 - 90% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 Flash (batch)GLM 4.7 Flash
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 (batch)

Google

$5.85
estimated monthly cost

GLM 4.7 Flash

Zhipu AI

Best Value
$0.5880
estimated monthly cost

GLM 4.7 Flash saves you $5.26/month

That's 90% cheaper than Gemini 3.6 Flash (batch) 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 Flash (batch)GLM 4.7 Flash
Context Window1.0M203K
Max Output Tokens65,53616,384
Open SourceNoYes
CreatedJul 21, 2026Jan 19, 2026
Last updated: 15m ago

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Gemini 3.6 Flash (batch) vs GLM 4.7 Flash (2026) | LM Market Cap