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Mistral Small 3 vs Llama 3.3 70B Instruct

Detailed technical comparison between Mistral Small 3 (Mistral) and Llama 3.3 70B Instruct (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Mistral Small 3: 1 WinvsLlama 3.3 70B Instruct: 5 Wins
Context Leader

Llama 3.3 70B Instruct

131,072 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mistral Small 3

$0.10 / MTok
Mistralactive

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

View Mistral Small 3 Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationMistral Small 3Llama 3.3 70B Instruct
ProviderMistralMeta
Context Window32,768 tokens131,072 tokens๐Ÿ†
Agent Suitability84/100 (est.)Not yet benchmarked
Time to First Token (TTFT)120 ms (est.)No public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-01-302024-12-06

API Pricing Comparison

Input Price per Million Tokens

Mistral Small 3

$0.10

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Mistral Small 3

$0.30

Llama 3.3 70B Instruct

$0.40

๐Ÿ’ก Cost Ratio: Mistral Small 3 is 1.3x cheaper per input token than Llama 3.3 70B Instruct.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
81.2%vs87.0%+5.8% Llama 3.3 70B Instruct
Mistral Small 3
Llama 3.3 70B Instruct ๐Ÿ†
HumanEvalPython coding & logic synthesis
83.0%vs86.2%+3.2% Llama 3.3 70B Instruct
Mistral Small 3
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
68.0%vs67.4%+0.6% Mistral Small 3
Mistral Small 3 ๐Ÿ†
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
45.0%vs48.8%+3.8% Llama 3.3 70B Instruct
Mistral Small 3
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
85.0%vs88.0%+3.0% Llama 3.3 70B Instruct
Mistral Small 3
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.3%vs9.1%+0.8% Llama 3.3 70B Instruct
Mistral Small 3
Llama 3.3 70B Instruct ๐Ÿ†

Mistral Small 3 Quirks & Gotchas

  • โ–ธFastest TTFT at lowest cost โ€” ideal for high-volume classification
  • โ–ธNot designed for complex reasoning โ€” route multi-step tasks to Mistral Large 3

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

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