whichllmmodel
Back to Dashboard
Anthropic

Claude Opus 4.8

VS
Mistral AI

Ministral 3 8B

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.8 is the premium intelligence choice, scoring 69.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Ministral 3 8B is 1.0x cheaper to run and delivers 4.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Ministral 3 8B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.8 fully justifies the cost.

Model Specs

Claude Opus 4.8

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
69.2%
Reasoning (gpqa-diamond)Winner (+)
93.6%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Speed
48.1 tps
Context WindowLarger
1M tokens
Model Specs

Ministral 3 8B

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
Speed4.2x faster
200 tps
Context Window
262.14k 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.

Ministral 3 8B is faster than Claude Opus 4.8. Ministral 3 8B generates 200 tokens per second (tps) compared to Claude Opus 4.8 which generates 48.1 tokens per second.

Claude Opus 4.8 is better for coding tasks. It scores 69.2% on coding evaluations (swe-bench-pro) compared to Ministral 3 8B which scores N/A.

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