Model comparison
Llama 4 Scout vs Qwen3 235B 2507 (Reasoning)
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Scout #174 (Supported); Qwen3 235B 2507 (Reasoning) #66 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Scout and Qwen3 235B 2507 (Reasoning) share 1 comparable benchmark result. 0 of 8 categories are comparable. 17 results are unique to Llama 4 Scout; 1 to Qwen3 235B 2507 (Reasoning).
Updated July 20, 2026- Shared results
- 1
- Llama 4 Scout only
- 17
- Qwen3 235B 2507 (Reasoning) only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Scout and Qwen3 235B 2507 (Reasoning) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
Llama 4 Scout has the larger context window at 10M, compared with 128K for Qwen3 235B 2507 (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 | Llama 4 Scout | Δ | Qwen3 235B 2507 (Reasoning) |
|---|---|---|---|
| Math | Llama 4 ScoutNot measured | MarginNo overlap | Qwen3 235B 2507 (Reasoning)6.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 0.000%B 8.481%Winner: Qwen3 235B 2507 (Reasoning)Δ 8.5FrontierMath v2 (Tiers 1-3): Llama 4 Scout scored 0.000%; Qwen3 235B 2507 (Reasoning) scored 8.481%. Qwen3 235B 2507 (Reasoning) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Scout | Qwen3 235B 2507 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Scout$0 input / $0 output | Qwen3 235B 2507 (Reasoning)$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Llama 4 Scout128 tok/s | Qwen3 235B 2507 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 Scout0.70 s | Qwen3 235B 2507 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Scout10M | Qwen3 235B 2507 (Reasoning)128K | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Llama 4 Scout | Qwen3 235B 2507 (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | — | Not comparable |
| AA-GPQA DiamondSource | 58.7% | — | Not comparable |
| AA-HLESource | 4.3% | — | Not comparable |
| AA-Omniscience IndexSource | -52.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 14.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 78.3% | — | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Llama 4 Scout | Qwen3 235B 2507 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Llama 4 Scout and Qwen3 235B 2507 (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 Llama 4 Scout and Qwen3 235B 2507 (Reasoning) today?
Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Qwen3 235B 2507 (Reasoning): $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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