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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: Saba

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

Llama 3.1 405B vs Mistral: Saba benchmark

In this head-to-head showdown, Mistral: Saba is more budget-friendly at $0.6/1M 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: Choose Llama 3.1 405B if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Mistral: Saba if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

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

Llama 3.1 405B (1)Mistral: Saba (2)
Llama 3.1 405B
1 of 3 Wins
✓Context window
Mistral: Saba
2 of 3 Wins
✓Input price✓Output price
Meta
Leads 1 of 3 metrics
Llama 3.1 405B

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

Elo 1,370$3.5/1M out
Mistral
Leads 2 of 3 metrics
Mistral: Saba

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

$0.6/1M out
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 Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMistral: Saba Wins

Mistral: Saba

$0.6 / 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.

Llama 3.1 405B (8)vsMistral: Saba (2)
Llama 3.1 405B: 8W (80%)Overall: Llama 3.1 405BMistral: Saba: 2W (20%)
← Llama 3.1 405BMistral: Saba →
🏆Llama 3.1 405B(5/5)

Intelligence & Reasoning

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

Benchmark
Llama 3.1 405BvsMistral: Saba
Preference Elo
1,370vs—
Coding Elo
1,385vs—
SWE-bench
58.4%vs—
LiveBench
61.2%vs—
GPQA Diamond
75.2%vs—
Llama 3.1 405B: 5WMistral: Saba: 0W
🏆Llama 3.1 405B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Llama 3.1 405BvsMistral: Saba
Output speed
42 tok/svs—
Time to first token
360 msvs—
Llama 3.1 405B: 2WMistral: Saba: 0W
🏆Mistral: Saba(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Llama 3.1 405BvsMistral: Saba
Output price
$3.5/1Mvs$0.6/1M+$2.9/1M
Input price
$1.25/1Mvs$0.2/1M+$1.05/1M
Context window
128kvs33k+95k
Llama 3.1 405B: 1WMistral: Saba: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Llama 3.1 405B1,370
lmarena · Aug 17, 2026
Mistral: Saba—
Coding Elo
Llama 3.1 405B1,385
lmarena · Aug 17, 2026
Mistral: Saba—
LiveBench
Llama 3.1 405B61.2%
livebench · Aug 17, 2026
Mistral: Saba—
SWE-bench
Llama 3.1 405B58.4%
swebench · Aug 17, 2026
Mistral: Saba—
GPQA Diamond
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Mistral: Saba—
Time to first token
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Mistral: Saba—
Output speed
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Mistral: Saba—
Input price+$1.05/1M
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Mistral: Saba$0.2/1M
openrouter · Aug 17, 2026
Output price+$2.9/1M
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Mistral: Saba$0.6/1M
openrouter · Aug 17, 2026
Context window+95k
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
Mistral: Saba33k
openrouter · Aug 17, 2026
BenchmarkLlama 3.1 405BMistral: SabaAdvantage Delta
Preference Elo
1,370
lmarena · Aug 17, 2026
——
Coding Elo
1,385
lmarena · Aug 17, 2026
——
LiveBench
61.2%
livebench · Aug 17, 2026
——
SWE-bench
58.4%
swebench · Aug 17, 2026
——
GPQA Diamond
75.2%
seed-bootstrap · Aug 1, 2026
——
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
42 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.2/1M
openrouter · Aug 17, 2026
+$1.05/1M
Output price
$3.5/1M
seed-bootstrap · Aug 1, 2026
$0.6/1M
openrouter · Aug 17, 2026
+$2.9/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
33k
openrouter · Aug 17, 2026
+95k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 83% with Mistral: Saba
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: Saba$16.00 / mo
In: $7Out: $9
Estimated Cost Delta

Mistral: Saba is estimated to save $80.25/month ($963/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

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

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Saba

Lower output list price ($0.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 3.1 405B

Larger window (128k).

Screenshots / visionMistral: Saba

Mistral: Saba is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMistral: SabaLower output list price ($0.6/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGLlama 3.1 405BLarger window (128k).
Screenshots / visionMistral: SabaMistral: Saba is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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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: Saba

Elo n/a
SWE-bench—
Speed (tok/s)33k
Input / 1M Tokens$0.2/1M
Output / 1M Tokens$0.6/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 405B or Mistral: Saba?
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, Llama 3.1 405B or Mistral: Saba?
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: Saba output tokens are $0.6/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 405B or Mistral: Saba?
We do not have TTFT for both models.
Which has the larger context window?
Llama 3.1 405B accepts 128k tokens versus 33k.
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: Saba Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

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