Model comparison
LFM2.5-8B-A1B vs Mistral Medium 3.5 128B
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: LFM2.5-8B-A1B estimated; Mistral Medium 3.5 128B not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-8B-A1B and Mistral Medium 3.5 128B share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 12 to Mistral Medium 3.5 128B.
Updated July 16, 2026- Shared results
- 12
- LFM2.5-8B-A1B only
- 6
- Mistral Medium 3.5 128B only
- 12
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-8B-A1B and Mistral Medium 3.5 128B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.
Mistral Medium 3.5 128B is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. Mistral Medium 3.5 128B has the larger context window at 256K, compared with 128K for LFM2.5-8B-A1B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | LFM2.5-8B-A1B | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | LFM2.5-8B-A1BNot measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
| Math | LFM2.5-8B-A1B50.0 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
| Inst. Following | LFM2.5-8B-A1B68.8 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-8B-A1B | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-8B-A1B$0 input / $0 output | Mistral Medium 3.5 128B$1.5 input / $7.5 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | LFM2.5-8B-A1BNot available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-8B-A1BNot available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-8B-A1B128K | Mistral Medium 3.5 128B256K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | LFM2.5-8B-A1B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| BFCL v4Source | 49.7% | — | Not comparable |
| τ²-bench resultsSource | 16.1% | 94.2% | Mistral Medium 3.5 128B leads |
| τ³-bench resultsSource | — | 91.4% | Not comparable |
| AA Agentic IndexSource | — | 19.0% | Not comparable |
| GDPval-AASource | — | 21.4% | Not comparable |
| GDPval-AASource | — | 929 | Not comparable |
| Gert LabsSource | — | 39.10% | Not comparable |
| AA EnterpriseOps-GymSource | — | 33.7% | Not comparable |
| AA Harvey LABSource | — | 0.8% | Not comparable |
| AA Tau3 BankingSource | — | 14.4% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | LFM2.5-8B-A1B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-GPQA DiamondSource | 51.3% | 74.8% | Mistral Medium 3.5 128B leads |
| AA-HLESource | 6.9% | 12.8% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -33.3% | -36.3% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 9.4% | 25.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 47.0% | 82.0% | LFM2.5-8B-A1B leads |
| Artificial Analysis Intelligence IndexSource | 8.3% | 29.9% | Mistral Medium 3.5 128B leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | LFM2.5-8B-A1B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 64.9% | Not comparable |
Frequently Asked Questions (3)
Can I compare LFM2.5-8B-A1B and Mistral Medium 3.5 128B 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 LFM2.5-8B-A1B and Mistral Medium 3.5 128B today?
LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Mistral Medium 3.5 128B: $1.50 input / $7.50 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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