Model comparison
Pharia-1-LLM-7B-control vs Step 3.7 Flash
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: Pharia-1-LLM-7B-control unranked (Not scored); Step 3.7 Flash #110 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Pharia-1-LLM-7B-control and Step 3.7 Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Pharia-1-LLM-7B-control; 29 to Step 3.7 Flash.
Updated July 21, 2026- Shared results
- 0
- Pharia-1-LLM-7B-control only
- 0
- Step 3.7 Flash only
- 29
- Comparable categories
- 0 / 8
Benchmark data for Pharia-1-LLM-7B-control and Step 3.7 Flash 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 Pharia-1-LLM-7B-control yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Step 3.7 Flash has the larger context window at 256K, compared with 8K for Pharia-1-LLM-7B-control.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Pharia-1-LLM-7B-control | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Pharia-1-LLM-7B-controlNot available | Step 3.7 Flash$0.2 input / $1.15 output | A complete price comparison is not available. |
| Generation speedtokens per second | Pharia-1-LLM-7B-controlNot available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Pharia-1-LLM-7B-controlNot available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Pharia-1-LLM-7B-control8K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Pharia-1-LLM-7B-control | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| τ²-bench resultsSource | — | 98.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Pharia-1-LLM-7B-control | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 30.3% | Not comparable |
| AA-GPQA DiamondSource | — | 80.9% | Not comparable |
| AA-HLESource | — | 19.9% | Not comparable |
| AA-Omniscience IndexSource | — | -37.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 25.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.4% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Pharia-1-LLM-7B-control | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare Pharia-1-LLM-7B-control and Step 3.7 Flash 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 Pharia-1-LLM-7B-control and Step 3.7 Flash today?
Step 3.7 Flash: $0.20 input / $1.15 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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