Model comparison
GPT-4o mini vs Ornith-1.0-397B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: GPT-4o mini supported; Ornith-1.0-397B not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4o mini and Ornith-1.0-397B share 0 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to GPT-4o mini; 7 to Ornith-1.0-397B.
Updated July 16, 2026- Shared results
- 0
- GPT-4o mini only
- 10
- Ornith-1.0-397B only
- 7
- Comparable categories
- 0 / 8
Benchmark data for GPT-4o mini and Ornith-1.0-397B 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-4o mini is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ornith-1.0-397B. Ornith-1.0-397B has the larger context window at 256K, compared with 128K for GPT-4o mini.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4o mini | Ornith-1.0-397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4o mini$0.15 input / $0.6 output | Ornith-1.0-397B$0 input / $0 output | Ornith-1.0-397B has the lower combined listed price. |
| Generation speedtokens per second | GPT-4o mini33 tok/s | Ornith-1.0-397BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4o mini3.16 s | Ornith-1.0-397BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4o mini128K | Ornith-1.0-397B256K | Ornith-1.0-397B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding7 benchmarks
| Benchmark | GPT-4o mini | Ornith-1.0-397B | Result |
|---|---|---|---|
| AA-SciCodeSource | 22.9% | — | Not comparable |
| AA Coding IndexSource | 11.4% | — | Not comparable |
| SWE-bench VerifiedSource | — | 82.4% | Not comparable |
| SWE-bench ProSource | — | 62.2% | Not comparable |
| SWE MultilingualSource | — | 78.9% | Not comparable |
| NL2RepoSource | — | 48.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 77.5% | Not comparable |
Knowledge3 benchmarks
Multimodal1 benchmarks
| Benchmark | GPT-4o mini | Ornith-1.0-397B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 41.5% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-4o mini | Ornith-1.0-397B | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-4o mini and Ornith-1.0-397B 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 Ornith-1.0-397B today?
GPT-4o mini: $0.15 input / $0.60 output per 1M tokens Ornith-1.0-397B: $0.00 input / $0.00 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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