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Model comparison

Mistral Large 3 vs Qwen3 235B 2507 (Reasoning)

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
50.4/100
Margin
7.6pts
winning →
0 category wins0 category wins

Public leaderboard positions: Mistral Large 3 #113 (Supported); Qwen3 235B 2507 (Reasoning) #66 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mistral Large 3 and Qwen3 235B 2507 (Reasoning) share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Mistral Large 3; 2 to Qwen3 235B 2507 (Reasoning).

Updated July 21, 2026
Shared results
0
Mistral Large 3 only
16
Qwen3 235B 2507 (Reasoning) only
2
Comparable categories
0 / 8

Benchmark data for Mistral Large 3 and Qwen3 235B 2507 (Reasoning) 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Mistral Large 3 is priced at $0.50 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507 (Reasoning).

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricMistral Large 3Qwen3 235B 2507 (Reasoning)Comparison
Input / output priceUSD per 1M tokensMistral Large 3$0.5 input / $1.5 outputQwen3 235B 2507 (Reasoning)$0 input / $0 outputQwen3 235B 2507 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondMistral Large 348 tok/sQwen3 235B 2507 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMistral Large 31.04 sQwen3 235B 2507 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensMistral Large 3128KQwen3 235B 2507 (Reasoning)128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
AA Agentic IndexSource 5.5%Not comparable
τ²-bench resultsSource 24.6%Not comparable
GDPval-AASource 6.6%Not comparable
GDPval-AASource 633Not comparable
Coding
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
AA Coding IndexSource 20.1%Not comparable
AA-SciCodeSource 36.2%Not comparable
Reasoning
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
AA-LCRSource 34.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
Artificial Analysis Intelligence IndexSource 15.9%Not comparable
AA-GPQA DiamondSource 68.0%Not comparable
AA-HLESource 4.1%Not comparable
AA-Omniscience IndexSource -39.4%Not comparable
AA-Omniscience AccuracySource 24.1%Not comparable
AA-Omniscience Hallucination RateSource 83.7%Not comparable
Math
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 8.481%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
AA-MMMU-ProSource 55.7%Not comparable
Inst. Following
BenchmarkMistral Large 3Qwen3 235B 2507 (Reasoning)Result
AA-IFBenchSource 36.2%Not comparable
Frequently Asked Questions (3)

Can I compare Mistral Large 3 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 Mistral Large 3 and Qwen3 235B 2507 (Reasoning) today?

Mistral Large 3: $0.50 input / $1.50 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.

Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Qwen3 235B 2507 (Reasoning)
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 21, 2026

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