Model comparison
o3 vs Ornith-1.0-9B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. o3 and Ornith-1.0-9B share 0 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to o3; 7 to Ornith-1.0-9B.
Updated July 14, 2026- Shared results
- 0
- o3 only
- 17
- Ornith-1.0-9B only
- 7
- Comparable categories
- 0 / 8
Benchmark data for o3 and Ornith-1.0-9B 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.
o3 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ornith-1.0-9B. Ornith-1.0-9B has the larger context window at 256K, compared with 200K for o3.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | o3 | Ornith-1.0-9B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | o3$2 input / $8 output | Ornith-1.0-9B$0 input / $0 output | Ornith-1.0-9B has the lower combined listed price. |
| Generation speedtokens per second | o3118 tok/s | Ornith-1.0-9BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | o35.38 s | Ornith-1.0-9BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | o3200K | Ornith-1.0-9B256K | Ornith-1.0-9B lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding7 benchmarks
| Benchmark | o3 | Ornith-1.0-9B | Result |
|---|---|---|---|
| Terminal-Bench HardSource | 37.1% | — | Not comparable |
| AA-SciCodeSource | 41.0% | — | Not comparable |
| SWE-bench VerifiedSource | — | 69.4% | Not comparable |
| SWE-bench ProSource | — | 42.9% | Not comparable |
| SWE MultilingualSource | — | 52% | Not comparable |
| NL2RepoSource | — | 27.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 43.1% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | o3 | Ornith-1.0-9B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 30.4% | — | Not comparable |
| AA-GPQA DiamondSource | 82.7% | — | Not comparable |
| AA-HLESource | 20.0% | — | Not comparable |
| AA-Omniscience IndexSource | -15.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 87.1% | — | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | o3 | Ornith-1.0-9B | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare o3 and Ornith-1.0-9B 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 o3 and Ornith-1.0-9B today?
o3: $2.00 input / $8.00 output per 1M tokens Ornith-1.0-9B: $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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