whichllmmodel
Back to Dashboard
Meta

Llama-3.3-70B

VS
Mistral AI

Mistral 7B v0.3

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

👑 Editorial Verdict: Llama-3.3-70B strictly dominates Mistral 7B v0.3 across all major dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.00 per 1M tokens) but also delivers superior coding accuracy (0% vs 0% on SWE-bench) and faster generation speeds (193 tps vs 25 tps). Unless you have platform lock-in, Llama-3.3-70B is the clear and optimal choice for all development workloads.

Model Specs

Llama-3.3-70B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+)
50.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed7.7x faster
193 tps
Context WindowLarger
131.07k tokens
Model Specs

Mistral 7B v0.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
25 tps
Context Window
32k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Llama-3.3-70B is faster than Mistral 7B v0.3. Llama-3.3-70B generates 193 tokens per second (tps) compared to Mistral 7B v0.3 which generates 25 tokens per second.

Coding benchmark scores are not currently recorded for these models.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard