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Decision support

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

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

ModelsHardware
DeepSeek V4.1 Flash 1017

DeepSeek

Sources:models.devOpenRouter

MiniMax M3.1 Flash

MiniMax

Sources:models.devOpenRouter

Benchmark results

Head to head on 2 benchmarks both models report

  • DeepSeek V4.1 Flash 10172leads
  • MiniMax M3.1 Flash0leads

  • Arena WebDev

    Arena rating · Higher is better

    • DeepSeek V4.1 Flash 1017
      Best1664
      +79 ahead · Arena #17CI 1657 to 1670
    • MiniMax M3.1 Flash
      1585
      Arena #41CI 1575 to 1594
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max166495% CI 1657 to 1670 · 13,952 votes
    MiniMax M3.1 Flash
    • default158595% CI 1575 to 1594 · 4,838 votes
    Source:Arena WebDev leaderboard, 2026-11-10

  • Agent Arena

    IPS score · Higher is better

    • DeepSeek V4.1 Flash 1017
      Best+0.020
      +0.047 ahead · Arena #22CI +0.015 to +0.025
    • MiniMax M3.1 Flash
      -0.027
      Arena #38CI -0.042 to -0.012
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max+0.02095% CI +0.015 to +0.025 · 24,468,135 observations
    MiniMax M3.1 Flash
    • default-0.02795% CI -0.042 to -0.012 · 2,868,257 observations
    Source:Agent Arena leaderboard, 2026-11-11

  • ARC-AGI-2

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      78.1%
      #20 of 85
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • none2.1%
    • low73.6%
    • high68.6%
    • max78.1%
    MiniMax M3.1 Flash

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply

  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      46.3%
      #23 of 72
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max46.3%
    MiniMax M3.1 Flash

    Not reported

    Source:Epoch AI evaluation

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      71.2%
      #28 of 87
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max71.2%
    MiniMax M3.1 Flash

    Not reported

    Source:Epoch AI evaluation

  • GPQA diamond

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      93.2%
      #20 of 161
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max93.2%
    MiniMax M3.1 Flash

    Not reported

    Source:Epoch AI evaluation

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      99.4%
      #15 of 158
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max99.4%
    MiniMax M3.1 Flash

    Not reported

    Source:Epoch AI evaluation

  • SimpleQA Verified

    Best published score · Higher is better

    • DeepSeek V4.1 Flash 1017
      42.5%
      #48 of 87
    • MiniMax M3.1 Flash
      Not reported
    Runs and sources
    DeepSeek V4.1 Flash 1017
    • max42.5%
    MiniMax M3.1 Flash

    Not reported

    Source:Epoch AI evaluation

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Original-source terms apply to evaluations credited to their original publishers.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
October 17, 2026
October 19, 2026
Context window
1M
1M
Native context
—
1M
Max output tokens
393,216
524,288
Knowledge cutoff
2025-05
—
Open weights
Open weights
Open weights
Parameter count
763B
428B

API pricing · USD per 1M tokens

Input
$0.15
$0.075
Output
$0.60
$0.30
Cached input
$0.003
$0.0075
Cache write
—
—

Capabilities and modalities

Input modalities
text, image
text, image, video
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
frequency_penalty, include_reasoning, logit_bias, logprobs, max_completion_tokens, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Capabilities
—
completion, tools, thinking, vision

Architecture and availability

Architecture
—
minimax-m3
Model families
—
minimax-m3
Tokenizer
DeepSeek
Other
Instruction format
—
—
License
MIT
—
Providers
38
10
Provider endpoints
96
11
Ollama variants
0
1
Metadata source
ai-research
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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