Model comparison
GPT-5.4 vs Qwen3.5 397B (Reasoning)
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and Qwen3.5 397B (Reasoning) share 17 comparable benchmark results. 0 of 8 categories are comparable. 35 results are unique to GPT-5.4; 0 to Qwen3.5 397B (Reasoning).
Updated July 20, 2026- Shared results
- 17
- GPT-5.4 only
- 35
- Qwen3.5 397B (Reasoning) only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.4 and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 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.
GPT-5.4 is priced at $2.50 input / $15.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B (Reasoning). GPT-5.4 has the larger context window at 1.05M, compared with 128K for Qwen3.5 397B (Reasoning).
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 | GPT-5.4 | Δ | Qwen3.5 397B (Reasoning) |
|---|---|---|---|
| Agentic | GPT-5.477.2 | MarginNo overlap | Qwen3.5 397B (Reasoning)Not measured |
| Coding | GPT-5.457.7 | MarginNo overlap | Qwen3.5 397B (Reasoning)Not measured |
| Knowledge | GPT-5.457.6 | MarginNo overlap | Qwen3.5 397B (Reasoning)Not measured |
| Math | GPT-5.442.5 | MarginNo overlap | Qwen3.5 397B (Reasoning)Not measured |
| Multimodal | GPT-5.473.2 | MarginNo overlap | Qwen3.5 397B (Reasoning)Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 | Qwen3.5 397B (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | Qwen3.5 397B (Reasoning)$0.6 input / $3.6 output | Qwen3.5 397B (Reasoning) has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.474 tok/s | Qwen3.5 397B (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | Qwen3.5 397B (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | Qwen3.5 397B (Reasoning)128K | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.4 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | — | Not comparable |
| CyberGymSource | 79.0% | — | Not comparable |
| BrowseCompSource | 82.7% | — | Not comparable |
| OSWorld-VerifiedSource | 75% | — | Not comparable |
| MCP AtlasSource | 70.6% | — | Not comparable |
| ToolathlonSource | 54.6% | — | Not comparable |
| τ²-bench resultsSource | 87.1% | 95.6% | Qwen3.5 397B (Reasoning) leads |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 19.9% | GPT-5.4 leads |
| APEX-Agents-AASource | 33.3% | 15.3% | GPT-5.4 leads |
| GDPval-AASource | 44.7% | 23.1% | GPT-5.4 leads |
| GDPval-AASource | 1395 | 962 | GPT-5.4 leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | — | Not comparable |
Coding6 benchmarks
| Benchmark | GPT-5.4 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | — | Not comparable |
| SWE-bench ProSource | 57.7% | — | Not comparable |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | — | Not comparable |
| AA Coding IndexSource | 71.0% | 48.2% | GPT-5.4 leads |
| AA-SciCodeSource | 56.6% | 42.0% | GPT-5.4 leads |
Reasoning2 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-5.4 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| GPQASource | 92.8% | — | Not comparable |
| HLESource | 52.1% | — | Not comparable |
| HLE w/o toolsSource | 39.8% | — | Not comparable |
| GPQA-DSource | 92.8% | — | Not comparable |
| HealthBench HardSource | 40.1% | — | Not comparable |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 33.7% | GPT-5.4 leads |
| AA-GPQA DiamondSource | 92.0% | 89.3% | GPT-5.4 leads |
| AA-HLESource | 41.6% | 27.3% | GPT-5.4 leads |
| AA-Omniscience IndexSource | 5.7% | -29.8% | GPT-5.4 leads |
| AA-Omniscience AccuracySource | 50.0% | 31.4% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 89.1% | GPT-5.4 leads |
| HealthBench ProfessionalSource | 48.1% | — | Not comparable |
Math2 benchmarks
Multimodal11 benchmarks
| Benchmark | GPT-5.4 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | — | Not comparable |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | — | Not comparable |
| CharXivSource | 82.8% | — | Not comparable |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | 77.3% | GPT-5.4 leads |
| Design Arena WebsiteSource | 1252 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | Qwen3.5 397B (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 78.8% | Qwen3.5 397B (Reasoning) leads |
Frequently Asked Questions (3)
Can I compare GPT-5.4 and Qwen3.5 397B (Reasoning) 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-5.4 and Qwen3.5 397B (Reasoning) today?
GPT-5.4: $2.50 input / $15.00 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 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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