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Gemini 3.7 Flash (batch) vs Mistral Medium 3.1 (batch)

Signal-by-Signal Comparison
SignalGemini 3.7 Flash (batch)DeltaMistral Medium 3.1 (batch)
Capabilities
100
+33
67
Pricing
99
+1
98
Context window size
96
+14
81
Recency
100
+36
64
Output Capacity
77
-3
80
Overall Result
4 wins
of 5
1 wins
Gemini 3.7 Flash (batch) wins 4 of 5 signals

Score History

Score History (3 data points)
Gemini 3.7 Flash (batch)Mistral Medium 3.1 (batch)
Gemini 3.7 Flash (batch)

40

current score

Leader

Tied

right now

Mistral Medium 3.1 (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

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

Mistral Medium 3.1 (batch)

Mistral AI

Per request$0.001400
Daily$4.67
Monthly$140.00
Annual$1680.00

Gemini 3.7 Flash (batch) saves you $74.38/month

That's $892.50/year compared to Mistral Medium 3.1 (batch) at your current usage level of 100K calls/month.

53% cheaper
Choose Gemini 3.7 Flash (batch) for cost optimization

Gemini 3.7 Flash (batch) pricing:
Input:$0.19/M tokens
Output:$0.94/M tokens
Mistral Medium 3.1 (batch) pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Tie
Gemini 3.7 Flash (batch)

Google

40

Composite Score

Tie
Mistral Medium 3.1 (batch)

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.7 Flash (batch)Mistral Medium 3.1 (batch)Winner
Overall Score
40
40
--
Rank#215#312
Gemini 3.7 Flash (batch)
Quality Rank#215#312
Gemini 3.7 Flash (batch)
Adoption Rank#215#312
Gemini 3.7 Flash (batch)
Parameters------
Context Window1049K131K
Gemini 3.7 Flash (batch)
Pricing$0.19/$0.94/M$0.40/$2.00/M--
Signal Scores
Capabilities
100
67
Gemini 3.7 Flash (batch)
Pricing
99
98
Gemini 3.7 Flash (batch)
Context window size
96
81
Gemini 3.7 Flash (batch)
Recency
100
64
Gemini 3.7 Flash (batch)
Output Capacity
77
80
Mistral Medium 3.1 (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.7: 0Mistral Medium: 0
Gemini 3.7
Mistral Medium
Normalized 0-100%
HLE
-4.52%
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
Mistral Medium 3.1 (batch)Entry Level

Scores 40/100 (rank #312), placing it in the top -7% 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:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Mistral Medium 3.1 (batch) when you need:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
Gemini 3.7 Flash (batch)Best Value
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
Mistral Medium 3.1 (batch)
Input cost$0.40/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.060
Est. monthly (1M tokens/day)$36.00

Gemini 3.7 Flash (batch) offers 53% better value per quality point. At 1M tokens/day, you'd spend $16.88/month with Gemini 3.7 Flash (batch) vs $36.00/month with Mistral Medium 3.1 (batch) - a $19.13 monthly difference.

Latency & Speed
Gemini 3.7 Flash (batch)Faster
Speed score0/100
Mistral Medium 3.1 (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. Gemini 3.7 Flash (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 ($0.94/M) reduces costs when processing thousands of records daily

Gemini 3.7 Flash (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 Mistral Medium 3.1 (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 Cost - 53% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.7 Flash (batch)Mistral Medium 3.1 (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

Best Value
$1.46
estimated monthly cost

Mistral Medium 3.1 (batch)

Mistral AI

$3.12
estimated monthly cost

Gemini 3.7 Flash (batch) saves you $1.66/month

That's 53% cheaper than Mistral Medium 3.1 (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)Mistral Medium 3.1 (batch)
Context Window1.0M131K
Max Output Tokens65,536104,857
Open SourceNoNo
CreatedAug 13, 2026Aug 13, 2025
Last updated: 17m ago

相关对比

Gemini 3.7 Flash (batch) vs Mistral Medium 3.1 (batch) (2026) | LM Market Cap