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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. Gemini 1.5 Pro vs Mistral Large 3

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro 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 1,260), while Mistral Large 3 leads in SWE-bench software engineering benchmarks (55.4%), while Gemini 1.5 Pro is more budget-friendly at $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 Gemini 1.5 Pro if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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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
Mistral
Mistral Large 3

Mistral European flagship with strong function calling.

Elo 1,456$6/1M 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

Mistral Large 3

Δ 196 Arena Elo pts

Throughput Leader

Mistral Large 3

112 tok/s

Value per Dollar Leader

Gemini 1.5 Pro

$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 AdvantageMistral Large 3 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 1.5 Pro (3)vsMistral Large 3 (6)
Gemini 1.5 Pro: 3W (33%)Overall: Mistral Large 3Mistral Large 3: 6W (67%)
← Gemini 1.5 ProMistral Large 3 →
Mistral Large 3 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,260vs1,456
Coding Elo
—vs—
SWE-bench
38%vs55.4%
LiveBench
49.2%vs61.8%
GPQA Diamond
58%vs74.1%
Gemini 1.5 Pro: 0WMistral Large 3: 4W
Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
70 tok/svs112 tok/s
Time to first token
240 msvs190 ms
Gemini 1.5 Pro: 0WMistral Large 3: 2W
Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$5/1Mvs$6/1M
Input price
$1.25/1Mvs$2/1M
Context window
2Mvs128k
Gemini 1.5 Pro: 3WMistral Large 3: 0W

Side-by-Side Benchmark Matrix

Preference EloMistral Large 3 (+196)
Gemini 1.5 Pro1,260
lmarena · Aug 17, 2026
Mistral Large 31,456
lmarena · Aug 17, 2026
LiveBenchMistral Large 3 (+12.6%)
Gemini 1.5 Pro49.2%
livebench · Aug 17, 2026
Mistral Large 361.8%
livebench · Aug 17, 2026
SWE-benchMistral Large 3 (+17.4%)
Gemini 1.5 Pro38%
swebench · Aug 17, 2026
Mistral Large 355.4%
swebench · Aug 17, 2026
GPQA DiamondMistral Large 3 (+16.1%)
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Mistral Large 374.1%
seed-bootstrap · Aug 1, 2026
Time to first tokenMistral Large 3 (+50 ms)
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Mistral Large 3190 ms
seed-bootstrap · Aug 1, 2026
Output speedMistral Large 3 (+42 tok/s)
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Mistral Large 3112 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGemini 1.5 Pro (+$0.75/1M)
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Mistral Large 3$2/1M
openrouter · Aug 17, 2026
Output priceGemini 1.5 Pro (+$1/1M)
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Mistral Large 3$6/1M
openrouter · Aug 17, 2026
Context windowGemini 1.5 Pro (+1.9M)
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
Mistral Large 3128k
openrouter · Aug 17, 2026
BenchmarkGemini 1.5 ProMistral Large 3Advantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
1,456
lmarena · Aug 17, 2026
Mistral Large 3 (+196)
LiveBench
49.2%
livebench · Aug 17, 2026
61.8%
livebench · Aug 17, 2026
Mistral Large 3 (+12.6%)
SWE-bench
38%
swebench · Aug 17, 2026
55.4%
swebench · Aug 17, 2026
Mistral Large 3 (+17.4%)
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
74.1%
seed-bootstrap · Aug 1, 2026
Mistral Large 3 (+16.1%)
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
190 ms
seed-bootstrap · Aug 1, 2026
Mistral Large 3 (+50 ms)
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
112 tok/s
seed-bootstrap · Aug 1, 2026
Mistral Large 3 (+42 tok/s)
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$2/1M
openrouter · Aug 17, 2026
Gemini 1.5 Pro (+$0.75/1M)
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$6/1M
openrouter · Aug 17, 2026
Gemini 1.5 Pro (+$1/1M)
Context window
2M
seed-bootstrap · Aug 1, 2026
128k
openrouter · Aug 17, 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 26% with Gemini 1.5 Pro
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
Mistral Large 3$160.00 / mo
In: $70Out: $90
Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $41.25/month ($495/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Mistral Large 3:Pick Mistral Large 3 when repo-level coding accuracy is the constraint.
  • 2
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when you are optimizing output cost.
  • 3
    Mistral Large 3:Pick Mistral Large 3 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsMistral Large 3

Higher SWE-bench (55.4%).

High-volume chatGemini 1.5 Pro

Lower output list price ($5/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionMistral Large 3

Both accept images. Defaulting to the higher-Elo side (Mistral Large 3).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsMistral Large 3Higher SWE-bench (55.4%).
High-volume chatGemini 1.5 ProLower output list price ($5/1M).
Voice / low-latency UIMistral Large 3Lower TTFT (190 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionMistral Large 3Both accept images. Defaulting to the higher-Elo side (Mistral Large 3).

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 Matrix

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LIVE
VS
Google

Gemini 1.5 Pro

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

Mistral Large 3

Elo 1,456
LiveBench61.8%
SWE-bench55.4%
Speed112 tok/s
Output cost$6/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro 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, Gemini 1.5 Pro or Mistral Large 3?
Mistral Large 3 leads SWE-bench at 55.4% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Gemini 1.5 Pro output tokens are $5/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Mistral Large 3?
Mistral Large 3 has the lower time-to-first-token (190 ms vs 240 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?
Neither model is marked open-weights here. You are comparing hosted APIs.
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 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 Gemini 1.5 Pro matchups →|All Mistral Large 3 matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Mistral Large 3 vs Codestral 25.01 (previous mistral)Gemini 3 Pro vs Mistral Large 3Gemini 3 Flash vs Mistral Large 3Gemini 2.0 Flash Thinking vs Mistral Large 3Gemini 3.6 Pro vs Mistral Large 3