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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. Google: Gemini 2.5 Pro Preview 05-06 vs Llama 3.1 405B

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

Google: Gemini 2.5 Pro Preview 05-06 vs Llama 3.1 405B benchmark

In this head-to-head showdown, Llama 3.1 405B is more budget-friendly at $3.5/1M 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 Google: Gemini 2.5 Pro Preview 05-06 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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Verified Head-to-Head Advantage Breakdown

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

Google: Gemini 2.5 Pro Preview 05-06 (1)Llama 3.1 405B (1)
Google: Gemini 2.5 Pro Preview 05-06
1 of 2 Wins
✓Context window
Llama 3.1 405B
1 of 2 Wins
✓Output price
Google
Leads 1 of 2 metrics
Google: Gemini 2.5 Pro Preview 05-06

Auto-discovered from OpenRouter (google/gemini-2.5-pro-preview-05-06). Preview until a second source matches.

$10/1M out
Meta
Leads 1 of 2 metrics
Llama 3.1 405B

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

Elo 1,370$3.5/1M out
Top Rival Showdowns for Google: Gemini 2.5 Pro Preview 05-06
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

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 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.

Google: Gemini 2.5 Pro Preview 05-06 (1)vsLlama 3.1 405B (8)
Google: Gemini 2.5 Pro Preview 05-06: 1W (11%)Overall: Llama 3.1 405BLlama 3.1 405B: 8W (89%)
← Google: Gemini 2.5 Pro Preview 05-061 tiesLlama 3.1 405B →
🏆Llama 3.1 405B(5/5)

Intelligence & Reasoning

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

Benchmark
Google: Gemini 2.5 Pro Preview 05-06vsLlama 3.1 405B
Preference Elo
—vs1,370
Coding Elo
—vs1,385
SWE-bench
—vs58.4%
LiveBench
—vs61.2%
GPQA Diamond
—vs75.2%
Google: Gemini 2.5 Pro Preview 05-06: 0WLlama 3.1 405B: 5W
🏆Llama 3.1 405B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Google: Gemini 2.5 Pro Preview 05-06vsLlama 3.1 405B
Output speed
—vs42 tok/s
Time to first token
—vs360 ms
Google: Gemini 2.5 Pro Preview 05-06: 0WLlama 3.1 405B: 2W
Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Google: Gemini 2.5 Pro Preview 05-06vsLlama 3.1 405B
Output price
$10/1Mvs$3.5/1M+$6.5/1M
Input price
$1.25/1Mvs$1.25/1M
Context window
1Mvs128k+921k
Google: Gemini 2.5 Pro Preview 05-06: 1WLlama 3.1 405B: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B1,370
lmarena · Aug 17, 2026
Coding Elo
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B1,385
lmarena · Aug 17, 2026
LiveBench
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B61.2%
livebench · Aug 17, 2026
SWE-bench
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B58.4%
swebench · Aug 17, 2026
GPQA Diamond
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Time to first token
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Output speed
Google: Gemini 2.5 Pro Preview 05-06—
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Input price
Google: Gemini 2.5 Pro Preview 05-06$1.25/1M
openrouter · Aug 17, 2026
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Output price+$6.5/1M
Google: Gemini 2.5 Pro Preview 05-06$10/1M
openrouter · Aug 17, 2026
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Context window+921k
Google: Gemini 2.5 Pro Preview 05-061M
openrouter · Aug 17, 2026
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
BenchmarkGoogle: Gemini 2.5 Pro Preview 05-06Llama 3.1 405BAdvantage 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
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
—
Output price
$10/1M
openrouter · Aug 17, 2026
$3.5/1M
seed-bootstrap · Aug 1, 2026
+$6.5/1M
Context window
1M
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
+921k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 50% 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)
Google: Gemini 2.5 Pro Preview 05-06$193.75 / mo
In: $43.75Out: $150
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Estimated Cost Delta

Llama 3.1 405B is estimated to save $97.50/month ($1,170/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Llama 3.1 405B:Pick Llama 3.1 405B when you are optimizing output cost.
  • 2
    Google: Gemini 2.5 Pro Preview 05-06:Pick Google: Gemini 2.5 Pro Preview 05-06 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 405B

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 2.5 Pro Preview 05-06

Larger window (1M).

Screenshots / visionLlama 3.1 405B

Llama 3.1 405B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatLlama 3.1 405BLower output list price ($3.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Gemini 2.5 Pro Preview 05-06Larger window (1M).
Screenshots / visionLlama 3.1 405BLlama 3.1 405B is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Google: Gemini 2.5 Pro Preview 05-06

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$10/1M
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

Frequently Asked Questions

Which is better overall, Google: Gemini 2.5 Pro Preview 05-06 or Llama 3.1 405B?
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, Google: Gemini 2.5 Pro Preview 05-06 or Llama 3.1 405B?
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?
Llama 3.1 405B output tokens are $3.5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 2.5 Pro Preview 05-06 or Llama 3.1 405B?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 2.5 Pro Preview 05-06 accepts 1M 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. Google: Gemini 2.5 Pro Preview 05-06 and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemini 2.5 Pro Preview 05-06 matchups →|All Llama 3.1 405B matchups →
Llama 3.1 405B vs Llama 3.1 70B (next llama)Gemini 3 Pro vs Llama 3.1 405BGemini 3 Flash vs Llama 3.1 405BLlama 4 Maverick vs Llama 3.1 405BGemini 2.0 Flash Thinking vs Llama 3.1 405BGemini 3.6 Pro vs Llama 3.1 405B