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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. Llama 3.1 405B vs Mistral Large 3

Pairwise benchmark snapshot · Aug 17, 2026

Llama 3.1 405B vs Mistral Large 3 benchmark

In this head-to-head showdown, Mistral Large 3 delivers higher overall intelligence and human-preferred responses (Elo 1,456 vs 1,370), while Llama 3.1 405B leads in SWE-bench software engineering benchmarks (58.4%), while Llama 3.1 405B is more budget-friendly at $3.5/1M per 1M output tokens, while Mistral Large 3 provides faster response streaming (112 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Mistral Large 3 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Llama 3.1 405B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Llama 3.1 405B holds empirical advantage (4 of 8 metrics)

Coding / SWESWE-bench
Llama 3.1 405BTop code solve rate
ReasoningGPQA / Live
Llama 3.1 405BTop logical accuracy
Best Value$/1M Tok
Llama 3.1 405BLowest API billing cost
Speed / TokTok/Sec
Mistral Large 3Fastest stream rate

Verified Advantage Breakdown

8 benchmarks evaluated across capability, speed, and cost

Llama 3.1 405B (4)Mistral Large 3 (4)
Llama 3.1 405B
4 of 8 Wins
✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Mistral Large 3
4 of 8 Wins
✓Preference Elo✓LiveBench✓Time to first token✓Output speed
Meta
Leads 4 of 8
Llama 3.1 405B

Meta flagship open-weight 405B dense foundation model with 128k context window.

Elo 1,370In: $1.25 · Out: $3.5/1M
Mistral
Leads 4 of 8
Mistral Large 3

Mistral European flagship with strong function calling.

Elo 1,456In: $2 · Out: $6/1M
Top Rival Showdowns for Llama 3.1 405B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderMistral Large 3 Wins

Mistral Large 3

Δ 86 Arena Elo pts

Throughput LeaderMistral Large 3 Wins

Mistral Large 3

112 tok/s

Value per Dollar LeaderLlama 3.1 405B Wins

Llama 3.1 405B

$3.5 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Llama 3.1 405B (5)vsMistral Large 3 (4)
Llama 3.1 405B: 5W (56%)Overall: Llama 3.1 405BMistral Large 3: 4W (44%)
← Llama 3.1 405B1 tiesMistral Large 3 →
🏆Llama 3.1 405B Leads(3/5)

Intelligence & Reasoning

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

Benchmark
Llama 3.1 405BvsMistral Large 3
Preference Elo
1,370vs1,456+86
Coding Elo
1,385vs—
SWE-bench
58.4%vs55.4%+3%
LiveBench
61.2%vs61.8%+0.6%
GPQA Diamond
75.2%vs74.1%+1.1%
Llama 3.1 405B: 3WMistral Large 3: 2W
🏆Mistral Large 3 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Llama 3.1 405BvsMistral Large 3
Output speed
42 tok/svs112 tok/s+70 tok/s
Time to first token
360 msvs190 ms+170 ms
Llama 3.1 405B: 0WMistral Large 3: 2W
🏆Llama 3.1 405B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Llama 3.1 405BvsMistral Large 3
Output price
$3.5/1Mvs$6/1M+$2.5/1M
Input price
$1.25/1Mvs$2/1M+$0.75/1M
Context window
128kvs128k
Llama 3.1 405B: 2WMistral Large 3: 0W

Side-by-Side Benchmark Matrix

Llama 3.1 405BMistral Large 3
Preference EloMistral Large 3 +86
Llama 3.1 405B1,370
Mistral Large 31,456
Coding Elo
Llama 3.1 405B1,385
Mistral Large 3—
LiveBenchMistral Large 3 +0.6%
Llama 3.1 405B61.2%
Mistral Large 361.8%
SWE-benchLlama 3.1 405B +3%
Llama 3.1 405B58.4%
Mistral Large 355.4%
GPQA DiamondLlama 3.1 405B +1.1%
Llama 3.1 405B75.2%
Mistral Large 374.1%
Time to first tokenMistral Large 3 +170 ms
Llama 3.1 405B360 ms
Mistral Large 3190 ms
Output speedMistral Large 3 +70 tok/s
Llama 3.1 405B42 tok/s
Mistral Large 3112 tok/s
Input priceLlama 3.1 405B +$0.75/1M
Llama 3.1 405B$1.25/1M
Mistral Large 3$2/1M
Output priceLlama 3.1 405B +$2.5/1M
Llama 3.1 405B$3.5/1M
Mistral Large 3$6/1M
Context window
Llama 3.1 405B128k
Mistral Large 3128k
BenchmarkLlama 3.1 405BMistral Large 3Advantage Delta
Preference Elo
1,370
lmarena · Aug 17, 2026
1,456
lmarena · Aug 17, 2026
+86
Coding Elo
1,385
lmarena · Aug 17, 2026
——
LiveBench
61.2%
livebench · Aug 17, 2026
61.8%
livebench · Aug 17, 2026
+0.6%
SWE-bench
58.4%
swebench · Aug 17, 2026
55.4%
swebench · Aug 17, 2026
+3%
GPQA Diamond
75.2%
seed-bootstrap · Aug 1, 2026
74.1%
seed-bootstrap · Aug 1, 2026
+1.1%
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
190 ms
seed-bootstrap · Aug 1, 2026
+170 ms
Output speed
42 tok/s
seed-bootstrap · Aug 1, 2026
112 tok/s
seed-bootstrap · Aug 1, 2026
+70 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$2/1M
openrouter · Aug 17, 2026
+$0.75/1M
Output price
$3.5/1M
seed-bootstrap · Aug 1, 2026
$6/1M
openrouter · Aug 17, 2026
+$2.5/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
128k
openrouter · Aug 17, 2026
—

Workload Cost & Savings Calculator

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

Save 40% with Llama 3.1 405B
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Mistral Large 3$160.00 / mo
In: $70Out: $90
Estimated Cost Delta

Llama 3.1 405B is estimated to save $63.75/month ($765/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Llama 3.1 405B:Pick Llama 3.1 405B when repo-level coding accuracy is the constraint.
  • 2
    Mistral Large 3:Pick Mistral Large 3 when time-to-first-token matters more than peak Elo.
  • 3
    Mistral Large 3:Pick Mistral Large 3 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsLlama 3.1 405B

Higher SWE-bench (58.4%).

High-volume chatLlama 3.1 405B

Lower output list price ($3.5/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGLlama 3.1 405B

Larger window (128k).

Screenshots / visionMistral Large 3

Mistral Large 3 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsLlama 3.1 405BHigher SWE-bench (58.4%).
High-volume chatLlama 3.1 405BLower output list price ($3.5/1M).
Voice / low-latency UIMistral Large 3Lower TTFT (190 ms).
Long-document RAGLlama 3.1 405BLarger window (128k).
Screenshots / visionMistral Large 3Mistral Large 3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 18, 2026

Mistral Large 3: the European flagship with function calling

Jan 2026. Not the Elo crown. Useful when residency and tools matter more than Arena.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Meta

Llama 3.1 405B

Elo 1,370
SWE-bench58.4%
Speed (tok/s)42 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$3.5/1M
Mistral

Mistral Large 3

Elo 1,456
SWE-bench55.4%
Speed (tok/s)112 tok/s
Input / 1M Tokens$2/1M
Output / 1M Tokens$6/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 405B or Mistral Large 3?
Mistral Large 3 has the higher preference Elo in our latest snapshot (1,456). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 3.1 405B or Mistral Large 3?
Llama 3.1 405B leads SWE-bench at 58.4% vs 55.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Llama 3.1 405B output tokens are $3.5/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 405B or Mistral Large 3?
Mistral Large 3 has the lower time-to-first-token (190 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Llama 3.1 405B accepts 128k tokens versus 128k.
Can I self-host either model?
Llama 3.1 405B 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. Llama 3.1 405B and Mistral Large 3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 18, 2026

    Mistral Large 3: the European flagship with function calling

Similar Head-to-Head Comparisons

All Llama 3.1 405B matchups →|All Mistral Large 3 matchups →
Llama 3.1 405B vs Llama 3.1 70B (next llama)Mistral Large 3 vs Codestral 25.01 (previous mistral)Llama 4 Maverick vs Mistral Large 3Llama 4 Scout vs Llama 3.1 405BCodestral 25.01 vs Llama 3.1 405BLlama 3.3 70B vs Llama 3.1 405B