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Llama 3.3 70B Instruct vs MiMo-V2.5

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and MiMo-V2.5 (Xiaomi). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 6 WinsvsMiMo-V2.5: 0 Wins
Context Leader

MiMo-V2.5

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Metaactive

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

View Llama 3.3 70B Instruct Full Specs →
Xiaomiactive

MiMo-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

View MiMo-V2.5 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 3.3 70B InstructMiMo-V2.5
ProviderMetaXiaomi
Context Window131,072 tokens1,050,000 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2024-12-062026-04-22

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

MiMo-V2.5

$0.14

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

MiMo-V2.5

$0.28

💡 Cost Ratio: Llama 3.3 70B Instruct is 1.1x cheaper per input token than MiMo-V2.5.

Want to test both models live?

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.0%vs81.4%+5.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5
HumanEvalPython coding & logic synthesis
86.2%vs79.6%+6.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5
MATHComplex mathematical problem solving
67.4%vs53.4%+14.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5
GPQAGraduate-level expert reasoning
48.8%vs38.8%+10.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5
HellaSwagCommonsense reasoning and inference
88.0%vs81.0%+7.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5
MT-BenchMulti-turn conversation flow quality
9.1%vs8.4%+0.7% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
MiMo-V2.5

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

MiMo-V2.5 Quirks & Gotchas

No developer gotchas reported.

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