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Gemini 3.1 Flash Lite vs Mellum

vs
Mellum

JetBrains

22#376
Signal-by-Signal Comparison
SignalGemini 3.1 Flash LiteDeltaMellum
Capabilities
100
+83
17
Pricing
99
-1
100
Context window size
96
+96
0
Recency
100
+46
54
Output Capacity
80
+60
20
Overall Result
4 wins
of 5
1 wins
Gemini 3.1 Flash Lite wins 4 of 5 signals

Score History

Score History (21 data points)
Gemini 3.1 Flash LiteMellum
Gemini 3.1 Flash Lite

23.6

current score

Leader

Gemini 3.1 Flash Lite

right now

Mellum

22.3

current score

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

Gemini 3.1 Flash Lite

Google

Per request$0.001000
Daily$3.33
Monthly$100.00
Annual$1200.00

Mellum

JetBrains

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Mellum saves you $100.00/month

That's $1200.00/year compared to Gemini 3.1 Flash Lite at your current usage level of 100K calls/month.

100% cheaper
Choose Mellum for cost optimization

Gemini 3.1 Flash Lite pricing:
Input:$0.25/M tokens
Output:$1.50/M tokens
Mellum pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Gemini 3.1 Flash Lite

Google

24

Composite Score

Mellum

JetBrains

22

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.1 Flash LiteMellumWinner
Overall Score
24
22
Gemini 3.1 Flash Lite
Rank#374#376
Gemini 3.1 Flash Lite
Quality Rank#374#376
Gemini 3.1 Flash Lite
Adoption Rank#374#376
Gemini 3.1 Flash Lite
Parameters------
Context Window1049K----
Pricing$0.25/$1.50/MFree--
Signal Scores
Capabilities
100
17
Gemini 3.1 Flash Lite
Pricing
99
100
Mellum
Context window size
96
0
Gemini 3.1 Flash Lite
Recency
100
54
Gemini 3.1 Flash Lite
Output Capacity
80
20
Gemini 3.1 Flash Lite
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.1: 0Mellum: 0
Gemini 3.1
Mellum
Normalized 0-100%
HLE
8.64%-
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 3.1 Flash LiteLimited

Scores 24/100 (rank #374), placing it in the top -29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MellumLimited

Scores 22/100 (rank #376), placing it in the top -29% 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 3.1 Flash Lite 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 Mellum when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.1 Flash Lite
Input cost$0.25/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.074
Est. monthly (1M tokens/day)$26.25
Mellum
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Gemini 3.1 Flash LiteFaster
Speed score0/100
Mellum
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 3.1 Flash Lite

Customer support chatbot

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

Gemini 3.1 Flash Lite

Long document analysis

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

Gemini 3.1 Flash Lite

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Mellum

Creative writing & content

Higher overall composite score (24/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.1 Flash Lite

Image understanding & OCR

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

Gemini 3.1 Flash Lite
Which Should You Choose?
Our recommendation:
Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite and Mellum are extremely close in overall performance (only 1.3000000000000007 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 JetBrains

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.1 Flash LiteMellum
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.1 Flash Lite

Google

$2.25
estimated monthly cost

Mellum

JetBrains

Best Value
$0.000000
estimated monthly cost

Mellum saves you $2.25/month

That's 100% cheaper than Gemini 3.1 Flash Lite 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 3.1 Flash LiteMellum
Context Window1.0M--
Max Output Tokens65,536--
Open SourceNoNo
CreatedMay 7, 2026Jun 1, 2025
Last updated: 35m ago

相关对比

Gemini 3.1 Flash Lite vs Mellum (2026) | LM Market Cap