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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Mistral: Mistral Medium 3.1 vs Qwen3.8 27B

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Mistral: Mistral Medium 3.1 vs Qwen3.8 27B benchmark

In this head-to-head showdown, Mistral: Mistral Medium 3.1 is more budget-friendly at $2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Mistral: Mistral Medium 3.1 and Qwen3.8 27B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

Mistral: Mistral Medium 3.1 (2)Qwen3.8 27B (1)
Mistral: Mistral Medium 3.1
2 of 3 Wins
✓Input price✓Output price
Qwen3.8 27B
1 of 3 Wins
✓Context window
Mistral
Leads 2 of 3 metrics
Mistral: Mistral Medium 3.1

Auto-discovered from OpenRouter (mistralai/mistral-medium-3.1). Preview until a second source matches.

$2/1M out
Alibaba
Leads 1 of 3 metrics
Qwen3.8 27B

Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.

27B DenseElo 1,398$3.1999999999999997/1M out
Top Rival Showdowns for Mistral: Mistral Medium 3.1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMistral: Mistral Medium 3.1 Wins

Mistral: Mistral Medium 3.1

$2 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Mistral: Mistral Medium 3.1 (2)vsQwen3.8 27B (8)
Mistral: Mistral Medium 3.1: 2W (20%)Overall: Qwen3.8 27BQwen3.8 27B: 8W (80%)
← Mistral: Mistral Medium 3.1Qwen3.8 27B →
🏆Qwen3.8 27B(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Mistral: Mistral Medium 3.1vsQwen3.8 27B
Preference Elo
—vs1,398
Coding Elo
—vs1,422
SWE-bench
—vs58.8%
LiveBench
—vs60.6%
GPQA Diamond
—vs73.4%
Mistral: Mistral Medium 3.1: 0WQwen3.8 27B: 5W
🏆Qwen3.8 27B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Mistral: Mistral Medium 3.1vsQwen3.8 27B
Output speed
—vs152 tok/s
Time to first token
—vs140 ms
Mistral: Mistral Medium 3.1: 0WQwen3.8 27B: 2W
🏆Mistral: Mistral Medium 3.1(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Mistral: Mistral Medium 3.1vsQwen3.8 27B
Output price
$2/1Mvs$3.2/1M+$1.2/1M
Input price
$0.4/1Mvs$0.45/1M+$0.05/1M
Context window
131kvs262k+131k
Mistral: Mistral Medium 3.1: 2WQwen3.8 27B: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Mistral: Mistral Medium 3.1—
Qwen3.8 27B1,398
lmarena · Aug 16, 2026
Coding Elo
Mistral: Mistral Medium 3.1—
Qwen3.8 27B1,422
lmarena · Aug 16, 2026
LiveBench
Mistral: Mistral Medium 3.1—
Qwen3.8 27B60.6%
livebench · Aug 16, 2026
SWE-bench
Mistral: Mistral Medium 3.1—
Qwen3.8 27B58.8%
swebench · Aug 16, 2026
GPQA Diamond
Mistral: Mistral Medium 3.1—
Qwen3.8 27B73.4%
seed-bootstrap · Aug 16, 2026
Time to first token
Mistral: Mistral Medium 3.1—
Qwen3.8 27B140 ms
seed-bootstrap · Aug 16, 2026
Output speed
Mistral: Mistral Medium 3.1—
Qwen3.8 27B152 tok/s
seed-bootstrap · Aug 16, 2026
Input price+$0.05/1M
Mistral: Mistral Medium 3.1$0.4/1M
openrouter · Aug 17, 2026
Qwen3.8 27B$0.45/1M
openrouter · Aug 17, 2026
Output price+$1.2/1M
Mistral: Mistral Medium 3.1$2/1M
openrouter · Aug 17, 2026
Qwen3.8 27B$3.2/1M
openrouter · Aug 17, 2026
Context window+131k
Mistral: Mistral Medium 3.1131k
openrouter · Aug 17, 2026
Qwen3.8 27B262k
openrouter · Aug 17, 2026
BenchmarkMistral: Mistral Medium 3.1Qwen3.8 27BAdvantage Delta
Preference Elo—
1,398
lmarena · Aug 16, 2026
—
Coding Elo—
1,422
lmarena · Aug 16, 2026
—
LiveBench—
60.6%
livebench · Aug 16, 2026
—
SWE-bench—
58.8%
swebench · Aug 16, 2026
—
GPQA Diamond—
73.4%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
140 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
152 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$0.4/1M
openrouter · Aug 17, 2026
$0.45/1M
openrouter · Aug 17, 2026
+$0.05/1M
Output price
$2/1M
openrouter · Aug 17, 2026
$3.2/1M
openrouter · Aug 17, 2026
+$1.2/1M
Context window
131k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
+131k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 31% with Mistral: Mistral Medium 3.1
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Mistral: Mistral Medium 3.1$44.00 / mo
In: $14Out: $30
Qwen3.8 27B$63.75 / mo
In: $15.75Out: $48
Estimated Cost Delta

Mistral: Mistral Medium 3.1 is estimated to save $19.75/month ($237/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Mistral: Mistral Medium 3.1:Pick Mistral: Mistral Medium 3.1 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Medium 3.1

Lower output list price ($2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen3.8 27B

Larger window (262k).

Screenshots / visionQwen3.8 27B

Qwen3.8 27B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMistral: Mistral Medium 3.1Lower output list price ($2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen3.8 27BLarger window (262k).
Screenshots / visionQwen3.8 27BQwen3.8 27B is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 14, 2026

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Mistral

Mistral: Mistral Medium 3.1

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$0.4/1M
Output / 1M Tokens$2/1M
Alibaba

Qwen3.8 27B

Elo 1,398
SWE-bench58.8%
Speed (tok/s)152 tok/s
Input / 1M Tokens$0.45/1M
Output / 1M Tokens$3.2/1M

Frequently Asked Questions

Which is better overall, Mistral: Mistral Medium 3.1 or Qwen3.8 27B?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Mistral: Mistral Medium 3.1 or Qwen3.8 27B?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Mistral: Mistral Medium 3.1 output tokens are $2/1M versus $3.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Mistral: Mistral Medium 3.1 or Qwen3.8 27B?
We do not have TTFT for both models.
Which has the larger context window?
Qwen3.8 27B accepts 262k tokens versus 131k.
Can I self-host either model?
Qwen3.8 27B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Mistral: Mistral Medium 3.1 and Qwen3.8 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 14, 2026

    Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Similar Head-to-Head Comparisons

All Mistral: Mistral Medium 3.1 matchups →|All Qwen3.8 27B matchups →
Qwen 3 Max vs Qwen3.8 27BQwen QwQ 32B vs Qwen3.8 27BMistral Large 3 vs Qwen3.8 27BQwen3 235B vs Qwen3.8 27BQwen 2.5 Plus vs Qwen3.8 27BCodestral 25.01 vs Qwen3.8 27B