Model comparison
Gemma 4 26B A4B 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.
Public leaderboard positions: Gemma 4 26B A4B #65 (Supported); Ornith-1.0-397B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and Ornith-1.0-397B share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Gemma 4 26B A4B; 7 to Ornith-1.0-397B.
Updated July 17, 2026- Shared results
- 0
- Gemma 4 26B A4B only
- 21
- Ornith-1.0-397B only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 26B A4B 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 26B A4B | Ornith-1.0-397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | Ornith-1.0-397B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | Ornith-1.0-397BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | Ornith-1.0-397BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | Ornith-1.0-397B256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding8 benchmarks
| Benchmark | Gemma 4 26B A4B | Ornith-1.0-397B | Result |
|---|---|---|---|
| AA Coding IndexSource | 39.3% | — | Not comparable |
| Terminal-Bench HardSource | 13.6% | — | Not comparable |
| AA-SciCodeSource | 40.0% | — | 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 |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemma 4 26B A4B | Ornith-1.0-397B | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | — | Not comparable |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | — | Not comparable |
| AA-GPQA DiamondSource | 79.2% | — | Not comparable |
| AA-HLESource | 18.3% | — | Not comparable |
| AA-Omniscience IndexSource | -48.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 18.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.9% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 26B A4B | Ornith-1.0-397B | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemma 4 26B A4B 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 Gemma 4 26B A4B and Ornith-1.0-397B today?
Gemma 4 26B A4B: $0.00 input / $0.00 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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