Model comparison
LFM2.5-VL-1.6B-Extract vs Thunder-LLM 8B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. LFM2.5-VL-1.6B-Extract and Thunder-LLM 8B share 0 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to LFM2.5-VL-1.6B-Extract; 0 to Thunder-LLM 8B.
Updated July 23, 2026- Shared results
- 0
- LFM2.5-VL-1.6B-Extract only
- 15
- Thunder-LLM 8B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-1.6B-Extract and Thunder-LLM 8B 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 Thunder-LLM 8B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
LFM2.5-VL-1.6B-Extract has the larger context window at 128K, compared with 32K for Thunder-LLM 8B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-1.6B-Extract | Thunder-LLM 8B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-1.6B-ExtractNot available | Thunder-LLM 8BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-1.6B-ExtractNot available | Thunder-LLM 8BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-1.6B-ExtractNot available | Thunder-LLM 8BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-1.6B-Extract128K | Thunder-LLM 8B32K | LFM2.5-VL-1.6B-Extract lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Thunder-LLM 8B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 8.5% | — | Not comparable |
Coding1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Thunder-LLM 8B | Result |
|---|---|---|---|
| AA-SciCodeSource | 3.0% | — | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Thunder-LLM 8B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 1.0% | — | Not comparable |
| AA-GPQA DiamondSource | 28.9% | — | Not comparable |
| AA-HLESource | 5.1% | — | Not comparable |
| AA-Omniscience IndexSource | -83.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 5.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 94.0% | — | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Thunder-LLM 8B | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.1% | — | Not comparable |
Frequently Asked Questions (2)
Can I compare LFM2.5-VL-1.6B-Extract and Thunder-LLM 8B 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.
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