Head-to-head AI model comparison graphic: Mistral Large 4 (Mistral) vs Qwen3.8 27B (Alibaba). Intelligence index 26.1 vs 20.1; output speed 139 vs 38 tokens per second; time to first token 1.7s vs 4.1s; output price $2.10 vs $3.00 per million tokens; input price $0.70 vs $0.50 per million tokens. franklineh.com
Mistral Large 4 vs Qwen3.8 27B: head-to-head AI benchmark comparison. Mistral Large 4 leads on intelligence index, output speed, time to first token and output price; Qwen3.8 27B leads on input price.
Head to headUpdated

Mistral Large 4 High vs Qwen3.8 27B Xhigh: which is faster?

Mistral Large 4 High leads the intelligence index 26.1 to 20.1. Benchmarks, sample bills, speed and a verdict.

Pick it for Mistral Large 4 · High

  • Higher intelligence index: 26.1 against 20.1.
  • Faster output: 139 tokens per second against 38 tokens per second.
  • Shorter wait for the first token: 1.7 seconds against 4.1 seconds.

Pick it for Qwen3.8 27B · Xhigh

  • Teams already building on Alibaba, if Mistral Large 4 High's recorded advantages are small for your workload.

By the numbers

MetricMistral Large 4 (High)Qwen3.8 27B (Xhigh)
Intelligence Index26.120.1
Input price (per 1M tokens)$0.70$0.50
Output price (per 1M tokens)$2.10$3.00
Output speed (tokens/s)13938
Time to first token1.7s4.1s
Release date2026-10-292026-08-14

This comparison puts Mistral's Mistral Large 4 (High) next to Alibaba's Qwen3.8 27B (Xhigh). The biggest gap is output speed, where Mistral Large 4 High records 139 tokens per second and Qwen3.8 27B Xhigh 38 tokens per second. Everything below is read from the benchmark, price and speed data in Franklin AI's catalogue; nothing here comes from a hands-on test.

How fast they respond

Once a response is under way, Mistral Large 4 High produces roughly 139 tokens per second against 38 tokens per second for Qwen3.8 27B Xhigh. Mistral Large 4 High is ahead by 264% on throughput. The wait for the first token averages 1.7 seconds on Mistral Large 4 High against 4.1 seconds on Qwen3.8 27B Xhigh. Mistral Large 4 High gets to its first token 2.3 times as fast.

Put together, a 2,000-token answer would take about 16 seconds from Mistral Large 4 High and 56 seconds from Qwen3.8 27B Xhigh, counting the first-token wait.

Benchmark scores

The catalogue puts Mistral Large 4 High at 26.1 and Qwen3.8 27B Xhigh at 20.1 on its intelligence index. A lead of this size is hard to dismiss as noise. Put another way, Qwen3.8 27B Xhigh would need 30% more on this index to draw level.

For context, that places Mistral Large 4 High 65th and Qwen3.8 27B Xhigh 78th out of 109 scored models still on offer.

For coding or maths work specifically, the catalogue has no dedicated index on either side yet.

Pricing depends on your mix

The list prices are $0.70 in and $2.10 out for Mistral Large 4 High, and $0.50 in and $3.00 out for Qwen3.8 27B Xhigh, per million tokens. The rates cross over. Qwen3.8 27B Xhigh is cheaper to feed and Mistral Large 4 High is cheaper to hear back from.

A sample workload of 1 million input tokens and 200,000 output tokens costs about the same on either: $1.12 against $1.10. A bigger example, writing 2,000 drafts of 2,000 output tokens from 300-token prompts, costs $8.82 on Mistral Large 4 High and $12.30 on Qwen3.8 27B Xhigh: a gap of $3.48. Blended at three input tokens per output token, the effective rates are $1.05 for Mistral Large 4 High and $1.125 for Qwen3.8 27B Xhigh.

Release timing

Mistral Large 4 High arrived on October 29, 2026, about 2 months after Qwen3.8 27B Xhigh (August 14, 2026).

Value for money

A blunt value measure, blended price over intelligence score, puts Mistral Large 4 High at $0.040 and Qwen3.8 27B Xhigh at $0.056 per point. Mistral Large 4 High scores higher and costs less per point, so on price per point there is nothing to trade off.

FAQ

Is Qwen3.8 27B Xhigh better than Mistral Large 4 High?

Mistral Large 4 High comes out ahead on every measure the data separates: Mistral Large 4 High scores higher on the intelligence index, 26.1 to 20.1; Mistral Large 4 High is 7% cheaper on blended price; and Mistral Large 4 High streams output 3.6 times as fast.

How much do Mistral Large 4 High and Qwen3.8 27B Xhigh cost?

Mistral Large 4 High is cheaper on a blended basis. Mistral Large 4 High lists $0.70 per million input tokens and $2.10 per million output tokens; Qwen3.8 27B Xhigh lists $0.50 and $3.00. For 1 million input and 200,000 output tokens that is $1.12 against $1.10.

Are Mistral Large 4 High and Qwen3.8 27B Xhigh from the same company?

Mistral Large 4 High is made by Mistral and Qwen3.8 27B Xhigh by Alibaba. Mistral Large 4 High was released on October 29, 2026 and Qwen3.8 27B Xhigh on August 14, 2026.

When were Mistral Large 4 High and Qwen3.8 27B Xhigh released?

Mistral Large 4 High is newer. It was released on October 29, 2026, about 2 months after Qwen3.8 27B Xhigh (August 14, 2026).

Was this comparison tested by hand?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

Final whistle

In one line: on these numbers Mistral Large 4 High is the clear pick over Qwen3.8 27B Xhigh. Pick Mistral Large 4 High if you need the higher overall score (26.1 against 20.1) and long outputs need to finish quickly. Pick Qwen3.8 27B Xhigh only if your own tests show an advantage the recorded data does not.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the Mistral Large 4 (High) and Qwen3.8 27B (Xhigh) pages. The AI Benchmark methodology explains how that data is collected and shown.

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