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Mistral AI

Mistral Large 3

VS
xAI

Grok 4.3

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Grok 4.3 is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mistral Large 3 is 1.0x cheaper to run and delivers 1.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mistral Large 3 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Grok 4.3 fully justifies the cost.

Model Specs

Mistral Large 3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
85.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.1x faster
220 tps
Context Window
262.14k tokens
Model Specs

Grok 4.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+4.6%)
90.1%

Cost & Performance

Cost (per 1M tokens)
$1.56Input: $1.25 | Output: $2.50
Speed
209 tps
Context WindowLarger
1M tokens
Read our data collection methodology

Frequently Asked Questions

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

Mistral Large 3 is faster than Grok 4.3. Mistral Large 3 generates 220 tokens per second (tps) compared to Grok 4.3 which generates 209 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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