Model comparison
GPT-5.1-Codex-Max vs LFM2.5-1.2B-JP-202606
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: GPT-5.1-Codex-Max #90 (Estimated); LFM2.5-1.2B-JP-202606 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1-Codex-Max and LFM2.5-1.2B-JP-202606 share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to GPT-5.1-Codex-Max; 0 to LFM2.5-1.2B-JP-202606.
Updated July 23, 2026- Shared results
- 0
- GPT-5.1-Codex-Max only
- 13
- LFM2.5-1.2B-JP-202606 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex-Max and LFM2.5-1.2B-JP-202606 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 LFM2.5-1.2B-JP-202606 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-5.1-Codex-Max has the larger context window at 400K, compared with 32K for LFM2.5-1.2B-JP-202606.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1-Codex-Max | LFM2.5-1.2B-JP-202606 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-Codex-Max$1.25 input / $10 output | LFM2.5-1.2B-JP-202606Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1-Codex-MaxNot available | LFM2.5-1.2B-JP-202606Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-Codex-MaxNot available | LFM2.5-1.2B-JP-202606Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex-Max400K | LFM2.5-1.2B-JP-20260632K | GPT-5.1-Codex-Max lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | LFM2.5-1.2B-JP-202606 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 83% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.1-Codex-Max | LFM2.5-1.2B-JP-202606 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | — | Not comparable |
| AA-GPQA DiamondSource | 86.0% | — | Not comparable |
| AA-HLESource | 23.4% | — | Not comparable |
| AA-Omniscience IndexSource | -6.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 39.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 74.4% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | LFM2.5-1.2B-JP-202606 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 72.5% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | LFM2.5-1.2B-JP-202606 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex-Max and LFM2.5-1.2B-JP-202606 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 GPT-5.1-Codex-Max and LFM2.5-1.2B-JP-202606 today?
GPT-5.1-Codex-Max: $1.25 input / $10.00 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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