MiniMax M3 vs Llama 3.3 70B Instruct

At a Glance

Compare
MiniMax M3MiniMax
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#35 of 4632.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 21.8–55.1UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#3 of 44$0.017 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#10 of 3859.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 53.8–70.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.28Deepinfra · Sep 22, 2026$0.10Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$1.10Deepinfra · Sep 22, 2026$0.32Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K131K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkMiniMax-M3Llama-3.3-70B-Instruct
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,433.50100% of row best · rating · minimax-m3; 95% CI [1429.31077607, 1437.68800840]; votes 48540; rank 821,273.9889% of row best · rating · llama-3.3-70b-instruct; 95% CI [1270.49383309, 1277.45726344]; votes 54412; rank 262
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo overall winner

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

Side-by-Side Facts

FieldMiniMax-M3Llama-3.3-70B-Instruct
DeveloperMiniMaxMeta
FamilyMinimax M3Llama 3 3 70b Instruct
ModelMiniMax-M3Llama-3.3-70B-Instruct
VersionMiniMax-M3Llama-3.3-70B-Instruct
Lifecycleactiveactive
Released2026-06-012024-12-06
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K131K
Total parameters427B70.6B
Active parameters23BUnknown
Licenseotherllama3.3
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

MiniMax M3 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

Llama 3.3 70B Instruct Capabilities

chatgenerationtools
Serving providers3
Canonical IDmeta-llama/Llama-3.3-70B-Instruct

Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs Llama 3.3 70B Instruct FAQs

Is MiniMax M3 or Llama 3.3 70B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and Llama 3.3 70B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or Llama 3.3 70B Instruct?+

MiniMax M3 is $0.28 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. MiniMax M3 is $1.10 and Llama 3.3 70B Instruct is $0.32 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric.

Which has a larger context window, MiniMax M3 or Llama 3.3 70B Instruct?+

MiniMax M3 has the larger sourced context window. MiniMax M3 supports 1,049K and Llama 3.3 70B Instruct supports 131K.

Which performs better in benchmarks, MiniMax M3 or Llama 3.3 70B Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can MiniMax M3 or Llama 3.3 70B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M3 is open weight; Llama 3.3 70B Instruct is open weight.

Can MiniMax M3 and Llama 3.3 70B Instruct understand images?+

MiniMax M3 is documented with image input; Llama 3.3 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M3 or Llama 3.3 70B Instruct?+

Neither has a larger sourced maximum output. MiniMax M3 is — and Llama 3.3 70B Instruct is —.

Do MiniMax M3 and Llama 3.3 70B Instruct support reasoning and tool use?+

MiniMax M3: reasoning, tool calling, and image input. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M3 or Llama 3.3 70B Instruct?+

MiniMax M3 has 5 sourced provider routes; Llama 3.3 70B Instruct has 3, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 or Llama 3.3 70B Instruct?+

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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