Model comparison
GPT-OSS 20B 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-OSS 20B #167 (Supported); Ministral 3 14B #196 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 20B and Ministral 3 14B share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to GPT-OSS 20B; 0 to Ministral 3 14B.
Updated July 28, 2026- Shared results
- 0
- GPT-OSS 20B only
- 18
- Ministral 3 14B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 20B 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.
Ministral 3 14B is priced at $0.20 input / $0.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 20B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 20B | Ministral 3 14B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 20B$0 input / $0 output | Ministral 3 14B$0.2 input / $0.2 output | GPT-OSS 20B has the lower combined listed price. |
| Generation speedtokens per second | GPT-OSS 20B313 tok/s | Ministral 3 14B110 tok/s | GPT-OSS 20B has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-OSS 20B0.65 s | Ministral 3 14B0.60 s | Ministral 3 14B reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-OSS 20B128K | Ministral 3 14B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-OSS 20B | Ministral 3 14B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.9% | — | Not comparable |
| AA-GPQA DiamondSource | 68.8% | — | Not comparable |
| AA-HLESource | 9.8% | — | Not comparable |
| AA-Omniscience IndexSource | -63.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 94.1% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 20B | Ministral 3 14B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 877 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 20B | Ministral 3 14B | Result |
|---|---|---|---|
| AA-IFBenchSource | 65.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-OSS 20B 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-OSS 20B and Ministral 3 14B today?
GPT-OSS 20B: $0.00 input / $0.00 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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