MiniMax M3 vs DeepSeek V4 Pro

Market Position

LiveBench Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIDeepSeekZ.aiMiniMaxOpenAIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed current model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.020$0.050$0.100$0.200$0.5006873788287Grok Build 0.1GLM 5.3 FlashGPT-5.6 Luna (max)DeepSeek V4 Flash Vision ExpGPT-5.6 Sol (max)Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated current-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.

Benchmark Performance

Available Benchmarks

BenchmarkMiniMax-M3DeepSeek-V4-Pro
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,435.2099% of row best · rating · minimax-m3; 95% CI [1430.86827835, 1439.53977389]; votes 44544; rank 771,451.00100% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41
LiveBench2026-06-25 · overall · leader70.2692% of row best · percent · minimax-m3 · 15,530 output tokens / case76.79100% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins2 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
MiniMax · activeMiniMax M3Verified Aug 28, 2026
DeepSeek · activeDeepSeek V4 ProVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMiniMax-M3DeepSeek-V4-Pro
DeveloperMiniMaxDeepSeek
FamilyMinimax M3Deepseek V4 Pro
ModelMiniMax-M3DeepSeek-V4-Pro
VersionMiniMax-M3DeepSeek-V4-Pro
Lifecycleactiveactive
Released2026-06-012026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K1,049K
Total parameters427B1.6T
Active parameters23B49B
Licenseothermit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning

17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

MiniMax M3 Capabilities

chatgenerationreasoningtools
Input price$0.28
Output price$1.10
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

DeepSeek V4 Pro Capabilities

chatgenerationreasoning
Input price$0.66
Output price$1.5441
Serving providers6
Canonical IDdeepseek-ai/DeepSeek-V4-Pro

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs DeepSeek V4 Pro FAQs

Is MiniMax M3 or DeepSeek V4 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and DeepSeek V4 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or DeepSeek V4 Pro?+

MiniMax M3 is $0.28 and DeepSeek V4 Pro is $0.66 per million tokens, so MiniMax M3 is cheaper on this metric. MiniMax M3 is $1.10 and DeepSeek V4 Pro is $1.5441 per million tokens, so MiniMax M3 is cheaper on this metric.

Which has a larger context window, MiniMax M3 or DeepSeek V4 Pro?+

Neither model has a larger sourced context window in this comparison. MiniMax M3 is 1,049K and DeepSeek V4 Pro is 1,049K.

Which performs better in benchmarks, MiniMax M3 or DeepSeek V4 Pro?+

DeepSeek V4 Pro leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can MiniMax M3 or DeepSeek V4 Pro be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M3 is open weight; DeepSeek V4 Pro is open weight.

Can MiniMax M3 and DeepSeek V4 Pro understand images?+

MiniMax M3 is documented with image input; DeepSeek V4 Pro is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M3 or DeepSeek V4 Pro?+

Neither has a larger sourced maximum output. MiniMax M3 is — and DeepSeek V4 Pro is —.

Do MiniMax M3 and DeepSeek V4 Pro support reasoning and tool use?+

MiniMax M3: reasoning, tool calling, and image input. DeepSeek V4 Pro: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M3 or DeepSeek V4 Pro?+

MiniMax M3 has 5 sourced provider routes; DeepSeek V4 Pro has 6, so DeepSeek V4 Pro has broader tracked availability.

Which offers better value, MiniMax M3 or DeepSeek V4 Pro?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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