Model comparison
Ornith-1.0-397B vs Qwen3.5 397B (Reasoning)
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: Ornith-1.0-397B unranked (Not scored); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ornith-1.0-397B and Qwen3.5 397B (Reasoning) share 0 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Ornith-1.0-397B; 17 to Qwen3.5 397B (Reasoning).
Updated July 18, 2026- Shared results
- 0
- Ornith-1.0-397B only
- 7
- Qwen3.5 397B (Reasoning) only
- 17
- Comparable categories
- 0 / 8
Benchmark data for Ornith-1.0-397B and Qwen3.5 397B (Reasoning) 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.
Qwen3.5 397B (Reasoning) is priced at $0.60 input / $3.60 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 Qwen3.5 397B (Reasoning).
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ornith-1.0-397B$0 input / $0 output | Qwen3.5 397B (Reasoning)$0.6 input / $3.6 output | Ornith-1.0-397B has the lower combined listed price. |
| Generation speedtokens per second | Ornith-1.0-397BNot available | Qwen3.5 397B (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ornith-1.0-397BNot available | Qwen3.5 397B (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ornith-1.0-397B256K | Qwen3.5 397B (Reasoning)128K | Ornith-1.0-397B lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 77.5% | — | Not comparable |
| Claw-EvalSource | 77.1% | — | Not comparable |
| AA Agentic IndexSource | — | 19.9% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
| τ²-bench resultsSource | — | 95.6% | Not comparable |
| GDPval-AASource | — | 23.1% | Not comparable |
| GDPval-AASource | — | 962 | Not comparable |
Coding7 benchmarks
| Benchmark | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| 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 |
| AA Coding IndexSource | — | 48.2% | Not comparable |
| AA-SciCodeSource | — | 42.0% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 33.7% | Not comparable |
| AA-GPQA DiamondSource | — | 89.3% | Not comparable |
| AA-HLESource | — | 27.3% | Not comparable |
| AA-Omniscience IndexSource | — | -29.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.1% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 77.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Ornith-1.0-397B | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 78.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare Ornith-1.0-397B and Qwen3.5 397B (Reasoning) 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 Ornith-1.0-397B and Qwen3.5 397B (Reasoning) today?
Ornith-1.0-397B: $0.00 input / $0.00 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 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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