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Every score has a dated snapshot.

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  3. Gemini 1.5 Pro vs Llama 3.1 405B

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro vs Llama 3.1 405B benchmark

In this head-to-head showdown, Llama 3.1 405B delivers higher overall intelligence and human-preferred responses (Elo 1,370 vs 1,260), 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 Gemini 1.5 Pro provides faster response streaming (70 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Llama 3.1 405B holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose Llama 3.1 405B for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Google
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
Meta
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 Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

Llama 3.1 405B

Δ 110 Arena Elo pts

Throughput Leader

Gemini 1.5 Pro

70 tok/s

Value per Dollar Leader

Llama 3.1 405B

$3.5 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageLlama 3.1 405B 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 1.5 Pro (3)vsLlama 3.1 405B (6)
Gemini 1.5 Pro: 3W (33%)Overall: Llama 3.1 405BLlama 3.1 405B: 6W (67%)
← Gemini 1.5 Pro1 tiesLlama 3.1 405B →
Llama 3.1 405B (5/5)

Intelligence & Reasoning

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

Preference Elo
1,260vs1,370
Coding Elo
—vs1,385
SWE-bench
38%vs58.4%
LiveBench
49.2%vs61.2%
GPQA Diamond
58%vs75.2%
Gemini 1.5 Pro: 0WLlama 3.1 405B: 5W
Gemini 1.5 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
70 tok/svs42 tok/s
Time to first token
240 msvs360 ms
Gemini 1.5 Pro: 2WLlama 3.1 405B: 0W
Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$5/1Mvs$3.5/1M
Input price
$1.25/1Mvs$1.25/1M
Context window
2Mvs128k
Gemini 1.5 Pro: 1WLlama 3.1 405B: 1W

Side-by-Side Benchmark Matrix

Preference EloLlama 3.1 405B (+110)
Gemini 1.5 Pro1,260
lmarena · Aug 17, 2026
Llama 3.1 405B1,370
lmarena · Aug 17, 2026
Coding Elo
Gemini 1.5 Pro—
Llama 3.1 405B1,385
lmarena · Aug 17, 2026
LiveBenchLlama 3.1 405B (+12%)
Gemini 1.5 Pro49.2%
livebench · Aug 17, 2026
Llama 3.1 405B61.2%
livebench · Aug 17, 2026
SWE-benchLlama 3.1 405B (+20.4%)
Gemini 1.5 Pro38%
swebench · Aug 17, 2026
Llama 3.1 405B58.4%
swebench · Aug 17, 2026
GPQA DiamondLlama 3.1 405B (+17.2%)
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Time to first tokenGemini 1.5 Pro (+120 ms)
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Output speedGemini 1.5 Pro (+28 tok/s)
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Input price
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Output priceLlama 3.1 405B (+$1.5/1M)
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Context windowGemini 1.5 Pro (+1.9M)
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 1.5 ProLlama 3.1 405BAdvantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
1,370
lmarena · Aug 17, 2026
Llama 3.1 405B (+110)
Coding Elo—
1,385
lmarena · Aug 17, 2026
—
LiveBench
49.2%
livebench · Aug 17, 2026
61.2%
livebench · Aug 17, 2026
Llama 3.1 405B (+12%)
SWE-bench
38%
swebench · Aug 17, 2026
58.4%
swebench · Aug 17, 2026
Llama 3.1 405B (+20.4%)
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
75.2%
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B (+17.2%)
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
360 ms
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+120 ms)
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
42 tok/s
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+28 tok/s)
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
—
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$3.5/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 405B (+$1.5/1M)
Context window
2M
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+1.9M)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 19% 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)
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Estimated Cost Delta

Llama 3.1 405B is estimated to save $22.50/month ($270/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
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

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 UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGemini 1.5 Pro

Gemini 1.5 Pro 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 UIGemini 1.5 ProLower TTFT (240 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Google

Gemini 1.5 Pro

Elo 1,260
LiveBench49.2%
SWE-bench38%
Speed70 tok/s
Output cost$5/1M
Meta

Llama 3.1 405B

Elo 1,370
LiveBench61.2%
SWE-bench58.4%
Speed42 tok/s
Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Llama 3.1 405B?
Llama 3.1 405B has the higher preference Elo in our latest snapshot (1,370). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or Llama 3.1 405B?
Llama 3.1 405B leads SWE-bench at 58.4% vs 38%. 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 $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Llama 3.1 405B?
Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M 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. Gemini 1.5 Pro 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 Gemini 1.5 Pro matchups →|All Llama 3.1 405B matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)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 405B