Model comparison
GPT-4o mini vs Ministral 3 14B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4o mini #183 (Supported); Ministral 3 14B #187 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4o mini and Ministral 3 14B share 0 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to GPT-4o mini; 0 to Ministral 3 14B.
Updated July 23, 2026- Shared results
- 0
- GPT-4o mini only
- 10
- Ministral 3 14B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-4o mini and Ministral 3 14B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Ministral 3 14B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-4o mini is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.20 input / $0.20 output per 1M tokens for Ministral 3 14B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4o mini | Ministral 3 14B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4o mini$0.15 input / $0.6 output | Ministral 3 14B$0.2 input / $0.2 output | Ministral 3 14B has the lower combined listed price. |
| Generation speedtokens per second | GPT-4o mini33 tok/s | Ministral 3 14B110 tok/s | Ministral 3 14B has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-4o mini3.16 s | Ministral 3 14B0.60 s | Ministral 3 14B reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-4o mini128K | Ministral 3 14B128K | Listed context windows are equal. |
Benchmark Deep Dive
Frequently Asked Questions (3)
Can I compare GPT-4o mini and Ministral 3 14B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-4o mini and Ministral 3 14B today?
GPT-4o mini: $0.15 input / $0.60 output per 1M tokens Ministral 3 14B: $0.20 input / $0.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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