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Model crosswalk

Side-by-side on price, capability and workload — three-way comparison.

Llama 3.3 70b Instruct
vs
Mistral Large 2
vs
Qwen 2.5 72b Instruct
Llama 3.3 70b InstructA

Llama 3.3 70b Instruct

Cheapest provider
$/1M input
$/1M output
Mistral Large 2B

Mistral Large 2

Cheapest provider
$/1M input
$/1M output
Qwen 2.5 72b InstructC

Qwen 2.5 72b Instruct

Cheapest provider
$/1M input
$/1M output
Specs and cheapest providers
SpecLlama 3.3 70b InstructMistral Large 2Qwen 2.5 72b Instruct
Parameters
Context window
License
Released
Cheapest provider
Provider
Input / 1M tokens
Output / 1M tokens
Benchmark comparison

No benchmark data available yet.

Editor's take
Llama 3.3 70B Instruct, Mistral Large 2, and Qwen 2.5 72B Instruct are three 70B-class open-weights models from different publishers, all carrying 131K context windows and all reaching production maturity well before 2026. Llama 3.3 70B (Meta, December 2024) and Qwen 2.5 72B (Alibaba, September 2024) are widely hosted on commodity inference providers; Mistral Large 2 (July 2024) is distributed under the Mistral Research license, restricting commercial use without a Mistral enterprise agreement. Mistral Large 2 delivers strong multilingual performance across European languages and competitive coding evals for its size class. The Mistral Research license is the material constraint: teams that need fully commercial, unrestricted deployment should read the license carefully before building on it. For organizations already in a Mistral commercial relationship, the quality-per-token profile is competitive. Qwen 2.5 72B Instruct remains widely deployed because workloads pinned to a specific checkpoint rarely migrate quickly. Benchmark scores on MMLU, HumanEval, and multilingual evals hold up against current-generation peers. It is the strongest multilingual option among the three, with particularly good handling of CJK text. The Qwen license covers commercial use. With Qwen 3 72B now available, new deployments should evaluate whether the upgrade is warranted. Llama 3.3 70B is the default recommendation for new deployments at this tier. The December 2024 alignment improvements deliver better instruction-following and tool-use reliability than the 3.1 baseline. Widest provider coverage, Llama 3 community license, and a deep fine-tune ecosystem. Pick Mistral Large 2 if you have a Mistral commercial agreement and value European-language quality. Pick Qwen 2.5 72B for CJK multilingual workloads or pinned-checkpoint reproducibility. Pick Llama 3.3 70B for new general-purpose deployments that need breadth of provider choice.
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Frequently asked questions
How does Llama 3.3 70b Instruct compare to Mistral Large 2 and Qwen 2.5 72b Instruct on price?
Use the table above to compare input and output prices per 1M tokens across the cheapest available providers for each model.
Which model is best for coding: Llama 3.3 70b Instruct, Mistral Large 2, or Qwen 2.5 72b Instruct?
HumanEval and other code benchmarks are shown in the table. For production code tasks, also consider context window size and provider latency.
What is the context window for Llama 3.3 70b Instruct, Mistral Large 2, and Qwen 2.5 72b Instruct?
Context window sizes are listed in the Specs row of the comparison table above.
Full model details