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Gemini 3.6 Flash (batch) vs Granite 4.0 Micro

Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaGranite 4.0 Micro
Capabilities
100
+67
33
Benchmarks
78
+78
0
Pricing
96
-4
100
Context window size
96
+14
81
Recency
100
+21
80
Output Capacity
80
-5
85
Overall Result
4 wins
of 6
2 wins
Gemini 3.6 Flash (batch) wins 4 of 6 signals

Score History

Score History (25 data points)
Gemini 3.6 Flash (batch)Granite 4.0 Micro
Gemini 3.6 Flash (batch)

80

current score

Leader

Gemini 3.6 Flash (batch)

right now

Granite 4.0 Micro

40

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

Granite 4.0 Micro

IBM

Best Value
Per request$0.000073
Daily$0.24
Monthly$7.30
Annual$87.60

Granite 4.0 Micro saves you $255.20/month

That's $3062.40/year compared to Gemini 3.6 Flash (batch) at your current usage level of 100K calls/month.

97% cheaper
Choose Granite 4.0 Micro for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
Granite 4.0 Micro pricing:
Input:$0.02/M tokens
Output:$0.11/M tokens
Winner
Gemini 3.6 Flash (batch)

Google

80

Composite Score

Granite 4.0 Micro

IBM

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)Granite 4.0 MicroWinner
Overall Score
80
40
Gemini 3.6 Flash (batch)
Rank#88#311
Gemini 3.6 Flash (batch)
Quality Rank#88#311
Gemini 3.6 Flash (batch)
Adoption Rank#88#311
Gemini 3.6 Flash (batch)
Parameters------
Context Window1049K131K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$0.02/$0.11/M--
Signal Scores
Capabilities
100
33
Gemini 3.6 Flash (batch)
Benchmarks
78
--
Gemini 3.6 Flash (batch)
Pricing
96
100
Granite 4.0 Micro
Context window size
96
81
Gemini 3.6 Flash (batch)
Recency
100
80
Gemini 3.6 Flash (batch)
Output Capacity
80
85
Granite 4.0 Micro
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.6: 0Granite 4.0: 0
Gemini 3.6
Granite 4.0
Normalized 0-100%
Arena Elo
1485-
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 #88), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Granite 4.0 MicroEntry Level

Scores 40/100 (rank #311), placing it in the top -7% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.6 Flash (batch) has a 40-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
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Granite 4.0 Micro when you need:

  • High-volume production workloads where API costs must be minimized
  • 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
Granite 4.0 MicroBest Value
Input cost$0.02/M tokens
Output cost$0.11/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$1.94

Granite 4.0 Micro offers 97% better value per quality point. At 1M tokens/day, you'd spend $1.94/month with Granite 4.0 Micro vs $67.50/month with Gemini 3.6 Flash (batch) - a $65.56 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
Granite 4.0 Micro
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. Granite 4.0 Micro 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 ($0.11/M) reduces costs when processing thousands of records daily

Granite 4.0 Micro

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 Granite 4.0 Micro with a significant 40-point lead. For most general use cases, Gemini 3.6 Flash (batch) is the stronger choice. However, Granite 4.0 Micro 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 IBM

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 Flash (batch)Granite 4.0 Micro
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
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

Granite 4.0 Micro

IBM

Best Value
$0.1650
estimated monthly cost

Granite 4.0 Micro saves you $5.68/month

That's 97% 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)Granite 4.0 Micro
Context Window1.0M131K
Max Output Tokens65,536131,000
Open SourceNoYes
CreatedJul 21, 2026Oct 20, 2025
Last updated: 16m ago

相关对比

Gemini 3.6 Flash (batch) vs Granite 4.0 Micro (2026) | LM Market Cap