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DeepSeek V4.1 Flash 1017 vs MiniMax M3.1 Flash

vs
MiniMax M3.1 Flash

MiniMax

40#182
Signal-by-Signal Comparison
SignalDeepSeek V4.1 Flash 1017DeltaMiniMax M3.1 Flash
Capabilities
83
--
83
Pricing
99
--
99
Context window size
96
--
96
Recency
100
--
100
Output Capacity
89
-2
91
Overall Result
0 wins
of 5
1 wins
MiniMax M3.1 Flash wins 1 of 5 signals

Score History

Score History (2 data points)
DeepSeek V4.1 Flash 1017MiniMax M3.1 Flash
DeepSeek V4.1 Flash 1017

40

current score

Leader

Tied

right now

MiniMax M3.1 Flash

40

current score

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

DeepSeek V4.1 Flash 1017

DeepSeek

Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

MiniMax M3.1 Flash

MiniMax

Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00
DeepSeek V4.1 Flash 1017 pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
MiniMax M3.1 Flash pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
Tie
DeepSeek V4.1 Flash 1017

DeepSeek

40

Composite Score

Tie
MiniMax M3.1 Flash

MiniMax

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V4.1 Flash 1017MiniMax M3.1 FlashWinner
Overall Score
40
40
--
Rank#183#182
MiniMax M3.1 Flash
Quality Rank#183#182
MiniMax M3.1 Flash
Adoption Rank#183#182
MiniMax M3.1 Flash
Parameters------
Context Window1049K1049K--
Pricing$0.15/$0.60/M$0.15/$0.60/M--
Signal Scores
Capabilities
83
83
DeepSeek V4.1 Flash 1017
Pricing
99
99
DeepSeek V4.1 Flash 1017
Context window size
96
96
DeepSeek V4.1 Flash 1017
Recency
100
100
DeepSeek V4.1 Flash 1017
Output Capacity
89
91
MiniMax M3.1 Flash
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.

DeepSeek V4.1 Flash 1017Entry Level

Scores 40/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M3.1 FlashEntry Level

Scores 40/100 (rank #182), placing it in the top 38% 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 DeepSeek V4.1 Flash 1017 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose MiniMax M3.1 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V4.1 Flash 1017Best Value
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$11.25
MiniMax M3.1 Flash
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$11.25

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

Latency & Speed
DeepSeek V4.1 Flash 1017Faster
Speed score0/100
MiniMax M3.1 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

DeepSeek V4.1 Flash 1017

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V4.1 Flash 1017 also offers lower per-token costs for high-volume support

DeepSeek V4.1 Flash 1017

Long document analysis

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

DeepSeek V4.1 Flash 1017

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

DeepSeek V4.1 Flash 1017

Creative writing & content

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

DeepSeek V4.1 Flash 1017

Image understanding & OCR

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

DeepSeek V4.1 Flash 1017
Which Should You Choose?
Our recommendation:
DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 and MiniMax M3.1 Flash 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 DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 0% 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 MiniMax

Consider for specialized use cases.

Capability Comparison
CapabilityDeepSeek V4.1 Flash 1017MiniMax M3.1 Flash
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V4.1 Flash 1017

DeepSeek

$0.9900
estimated monthly cost

MiniMax M3.1 Flash

MiniMax

$0.9900
estimated monthly cost

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V4.1 Flash 1017MiniMax M3.1 Flash
Context Window1.0M1.0M
Max Output Tokens393,216524,288
Open SourceYesYes
CreatedOct 17, 2026Oct 19, 2026
Last updated: 35m ago

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