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Gemini 3.7 Flash (batch) vs Ministral 3 8B 2512 (batch)

Signal-by-Signal Comparison
SignalGemini 3.7 Flash (batch)DeltaMinistral 3 8B 2512 (batch)
Capabilities
100
+33
67
Pricing
99
-1
100
Context window size
96
+10
86
Recency
100
+16
84
Output Capacity
77
-8
85
Overall Result
3 wins
of 5
2 wins
Gemini 3.7 Flash (batch) wins 3 of 5 signals

Score History

Score History (3 data points)
Gemini 3.7 Flash (batch)Ministral 3 8B 2512 (batch)
Gemini 3.7 Flash (batch)

40

current score

Leader

Tied

right now

Ministral 3 8B 2512 (batch)

40

current score

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

Gemini 3.7 Flash (batch)

Google

Per request$0.000656
Daily$2.19
Monthly$65.63
Annual$787.50

Ministral 3 8B 2512 (batch)

Mistral AI

Best Value
Per request$0.000225
Daily$0.75
Monthly$22.50
Annual$270.00

Ministral 3 8B 2512 (batch) saves you $43.13/month

That's $517.50/year compared to Gemini 3.7 Flash (batch) at your current usage level of 100K calls/month.

66% cheaper
Choose Ministral 3 8B 2512 (batch) for cost optimization

Gemini 3.7 Flash (batch) pricing:
Input:$0.19/M tokens
Output:$0.94/M tokens
Ministral 3 8B 2512 (batch) pricing:
Input:$0.15/M tokens
Output:$0.15/M tokens
Tie
Gemini 3.7 Flash (batch)

Google

40

Composite Score

Tie
Ministral 3 8B 2512 (batch)

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.7 Flash (batch)Ministral 3 8B 2512 (batch)Winner
Overall Score
40
40
--
Rank#215#295
Gemini 3.7 Flash (batch)
Quality Rank#215#295
Gemini 3.7 Flash (batch)
Adoption Rank#215#295
Gemini 3.7 Flash (batch)
Parameters--8B--
Context Window1049K262K
Gemini 3.7 Flash (batch)
Pricing$0.19/$0.94/M$0.15/$0.15/M--
Signal Scores
Capabilities
100
67
Gemini 3.7 Flash (batch)
Pricing
99
100
Ministral 3 8B 2512 (batch)
Context window size
96
86
Gemini 3.7 Flash (batch)
Recency
100
84
Gemini 3.7 Flash (batch)
Output Capacity
77
85
Ministral 3 8B 2512 (batch)
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 3.7 Flash (batch)Entry Level

Scores 40/100 (rank #215), placing it in the top 26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ministral 3 8B 2512 (batch)Entry Level

Scores 40/100 (rank #295), placing it in the top -1% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 3.7 Flash (batch) when you need:

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

Choose Ministral 3 8B 2512 (batch) 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 3.7 Flash (batch)
Input cost$0.19/M tokens
Output cost$0.94/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$16.88
Ministral 3 8B 2512 (batch)Best Value
Input cost$0.15/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Ministral 3 8B 2512 (batch) offers 73% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Ministral 3 8B 2512 (batch) vs $16.88/month with Gemini 3.7 Flash (batch) - a $12.38 monthly difference.

Latency & Speed
Gemini 3.7 Flash (batch)Faster
Speed score0/100
Ministral 3 8B 2512 (batch)
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 3.7 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ministral 3 8B 2512 (batch) also offers lower per-token costs for high-volume support

Gemini 3.7 Flash (batch)

Long document analysis

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

Gemini 3.7 Flash (batch)

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Ministral 3 8B 2512 (batch)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.7 Flash (batch)

Image understanding & OCR

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

Gemini 3.7 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.7 Flash (batch)

Gemini 3.7 Flash (batch) and Ministral 3 8B 2512 (batch) are extremely close in overall performance (only 0 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 Mistral AI

  • Choose for Cost - 73% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.7 Flash (batch)Ministral 3 8B 2512 (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.7 Flash (batch)

Google

$1.46
estimated monthly cost

Ministral 3 8B 2512 (batch)

Mistral AI

Best Value
$0.4500
estimated monthly cost

Ministral 3 8B 2512 (batch) saves you $1.01/month

That's 69% cheaper than Gemini 3.7 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 3.7 Flash (batch)Ministral 3 8B 2512 (batch)
Context Window1.0M262K
Max Output Tokens65,536209,715
Open SourceNoYes
CreatedAug 13, 2026Dec 2, 2025
Last updated: 24m ago

相关对比

Gemini 3.7 Flash (batch) vs Ministral 3 8B 2512 (batch) (2026) | LM Market Cap