Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro vs Qwen2.5 Coder 32B Instruct benchmark

Name: Gemini 1.5 Pro vs Qwen2.5 Coder 32B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen2.5 Coder 32B Instruct delivers higher overall intelligence and human-preferred responses (Elo 1,425 vs 1,260), while Qwen2.5 Coder 32B Instruct leads in SWE-bench software engineering benchmarks (65.2%), while Qwen2.5 Coder 32B Instruct is more budget-friendly at $1/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Qwen2.5 Coder 32B Instruct holds empirical advantage (5 of 6 metrics)

Coding / SWESWE-bench

Qwen2.5 Coder 32B InstructTop code solve rate

ReasoningGPQA / Live

Qwen2.5 Coder 32B InstructTop logical accuracy

Best Value$/1M Tok

Qwen2.5 Coder 32B InstructLowest API billing cost

Speed / TokTok/Sec

Gemini 1.5 ProFastest stream rate

Verified Advantage Breakdown

6 benchmarks evaluated across capability, speed, and cost

Gemini 1.5 Pro (1)Qwen2.5 Coder 32B Instruct (5)

Gemini 1.5 Pro

1 of 6 Wins

✓Context window

Qwen2.5 Coder 32B Instruct

5 of 6 Wins

✓Preference Elo✓LiveBench✓SWE-bench✓Input price✓Output price

Google

Leads 1 of 6

Gemini 1.5 Pro

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

Elo 1,260In: $1.25 · Out: $5/1M

Alibaba

Leads 5 of 6

Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

Elo 1,425In: $0.66 · Out: $1/1M

Top Rival Showdowns for Gemini 1.5 Pro

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference LeaderQwen2.5 Coder 32B Instruct Wins

Qwen2.5 Coder 32B Instruct

Δ 165 Arena Elo pts

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen2.5 Coder 32B Instruct Wins

Qwen2.5 Coder 32B Instruct

$1 / 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.

Gemini 1.5 Pro (4)vsQwen2.5 Coder 32B Instruct (6)

Gemini 1.5 Pro: 4W (40%)Qwen2.5 Coder 32B Instruct: 6W (60%)

← Gemini 1.5 ProQwen2.5 Coder 32B Instruct →

🏆Qwen2.5 Coder 32B Instruct Leads(4/5)

Intelligence & Reasoning

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

Benchmark

Gemini 1.5 ProvsQwen2.5 Coder 32B Instruct

Preference Elo

1,260vs1,425+165

Coding Elo

—vs1,495

SWE-bench

38%vs65.2%+27.2%

LiveBench

49.2%vs64.8%+15.6%

GPQA Diamond

58%vs—

Gemini 1.5 Pro: 1WQwen2.5 Coder 32B Instruct: 4W

🏆Gemini 1.5 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Gemini 1.5 ProvsQwen2.5 Coder 32B Instruct

Output speed

70 tok/svs—

Time to first token

240 msvs—

Gemini 1.5 Pro: 2WQwen2.5 Coder 32B Instruct: 0W

🏆Qwen2.5 Coder 32B Instruct Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Gemini 1.5 ProvsQwen2.5 Coder 32B Instruct

Output price

$5/1Mvs$1/1M+$4/1M

Input price

$1.25/1Mvs$0.66/1M+$0.59/1M

Context window

2Mvs33k+2M

Gemini 1.5 Pro: 1WQwen2.5 Coder 32B Instruct: 2W

Side-by-Side Benchmark Matrix

Gemini 1.5 ProQwen2.5 Coder 32B Instruct

Preference EloQwen2.5 Coder 32B Instruct +165

Gemini 1.5 Pro1,260

Qwen2.5 Coder 32B Instruct1,425

Coding Elo

Gemini 1.5 Pro—

Qwen2.5 Coder 32B Instruct1,495

LiveBenchQwen2.5 Coder 32B Instruct +15.6%

Gemini 1.5 Pro49.2%

Qwen2.5 Coder 32B Instruct64.8%

SWE-benchQwen2.5 Coder 32B Instruct +27.2%

Gemini 1.5 Pro38%

Qwen2.5 Coder 32B Instruct65.2%

GPQA Diamond

Gemini 1.5 Pro58%

Qwen2.5 Coder 32B Instruct—

Time to first token

Gemini 1.5 Pro240 ms

Qwen2.5 Coder 32B Instruct—

Output speed

Gemini 1.5 Pro70 tok/s

Qwen2.5 Coder 32B Instruct—

Input priceQwen2.5 Coder 32B Instruct +$0.59/1M

Gemini 1.5 Pro$1.25/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

Output priceQwen2.5 Coder 32B Instruct +$4/1M

Gemini 1.5 Pro$5/1M

Qwen2.5 Coder 32B Instruct$1/1M

Context windowGemini 1.5 Pro +2M

Gemini 1.5 Pro2M

Qwen2.5 Coder 32B Instruct33k

Benchmark	Gemini 1.5 Pro	Qwen2.5 Coder 32B Instruct	Advantage Delta
Preference Elo	1,260 lmarena · Aug 17, 2026	1,425 lmarena · Aug 17, 2026	+165
Coding Elo	—	1,495 lmarena · Aug 17, 2026	—
LiveBench	49.2% livebench · Aug 17, 2026	64.8% livebench · Aug 17, 2026	+15.6%
SWE-bench	38% swebench · Aug 17, 2026	65.2% swebench · Aug 17, 2026	+27.2%
GPQA Diamond	58% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	240 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	70 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$1.25/1M seed-bootstrap · Aug 1, 2026	$0.66/1M openrouter · Aug 17, 2026	+$0.59/1M
Output price	$5/1M seed-bootstrap · Aug 1, 2026	$1/1M openrouter · Aug 17, 2026	+$4/1M
Context window	2M seed-bootstrap · Aug 1, 2026	33k openrouter · Aug 17, 2026	+2M

Workload Cost & Savings Calculator

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

Save 68% with Qwen2.5 Coder 32B Instruct

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

Qwen2.5 Coder 32B Instruct$38.10 / mo

In: $23.1Out: $15

Estimated Cost Delta

Qwen2.5 Coder 32B Instruct is estimated to save $80.65/month ($968/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen2.5 Coder 32B Instruct:Pick Qwen2.5 Coder 32B Instruct when repo-level coding accuracy is the constraint.
2
Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.
3
Qwen2.5 Coder 32B Instruct:Pick Qwen2.5 Coder 32B Instruct as the default general assistant.

Recommended Workload Routing

Repo / coding agentsQwen2.5 Coder 32B Instruct

Higher SWE-bench (65.2%).

High-volume chatQwen2.5 Coder 32B Instruct

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen2.5 Coder 32B Instruct	Higher SWE-bench (65.2%).
High-volume chat	Qwen2.5 Coder 32B Instruct	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Gemini 1.5 Pro	Gemini 1.5 Pro is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Google

Gemini 1.5 Pro

Elo 1,260

SWE-bench38%

Speed (tok/s)70 tok/s

Input / 1M Tokens$1.25/1M

Output / 1M Tokens$5/1M

Alibaba

Qwen2.5 Coder 32B Instruct

Elo 1,425

SWE-bench65.2%

Speed (tok/s)33k

Input / 1M Tokens$0.66/1M

Output / 1M Tokens$1/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?: Qwen2.5 Coder 32B Instruct has the higher preference Elo in our latest snapshot (1,425). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?: Qwen2.5 Coder 32B Instruct leads SWE-bench at 65.2% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Qwen2.5 Coder 32B Instruct output tokens are $1/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?: We do not have TTFT for both models.
Which has the larger context window?: Gemini 1.5 Pro accepts 2M tokens versus 33k.
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 Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct matchups →

Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Qwen2.5 Coder 32B Instruct vs Qwen 2.5 Plus (next qwen)Gemini 3 Pro vs Qwen2.5 Coder 32B Instruct Gemini 3 Flash vs Qwen2.5 Coder 32B Instruct Qwen 3 Max vs Qwen2.5 Coder 32B Instruct Gemini 2.0 Flash Thinking vs Qwen2.5 Coder 32B Instruct

Gemini 1.5 Pro vs Qwen2.5 Coder 32B Instruct benchmark

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

Side-by-Side Benchmark Matrix

Gemini 1.5 ProQwen2.5 Coder 32B Instruct

Preference EloQwen2.5 Coder 32B Instruct +165

Gemini 1.5 Pro1,260

Qwen2.5 Coder 32B Instruct1,425

Coding Elo

Gemini 1.5 Pro—

Qwen2.5 Coder 32B Instruct1,495

LiveBenchQwen2.5 Coder 32B Instruct +15.6%

Gemini 1.5 Pro49.2%

Qwen2.5 Coder 32B Instruct64.8%

SWE-benchQwen2.5 Coder 32B Instruct +27.2%

Gemini 1.5 Pro38%

Qwen2.5 Coder 32B Instruct65.2%

GPQA Diamond

Gemini 1.5 Pro58%

Qwen2.5 Coder 32B Instruct—

Time to first token

Gemini 1.5 Pro240 ms

Qwen2.5 Coder 32B Instruct—

Output speed

Gemini 1.5 Pro70 tok/s

Qwen2.5 Coder 32B Instruct—

Input priceQwen2.5 Coder 32B Instruct +$0.59/1M

Gemini 1.5 Pro$1.25/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

Output priceQwen2.5 Coder 32B Instruct +$4/1M

Gemini 1.5 Pro$5/1M

Qwen2.5 Coder 32B Instruct$1/1M

Context windowGemini 1.5 Pro +2M

Gemini 1.5 Pro2M

Qwen2.5 Coder 32B Instruct33k

Benchmark

Gemini 1.5 Pro

Qwen2.5 Coder 32B Instruct

Advantage Delta

Preference Elo

1,260

lmarena · Aug 17, 2026

1,425

lmarena · Aug 17, 2026

+165

Coding Elo

—

1,495

lmarena · Aug 17, 2026

—

LiveBench

49.2%

livebench · Aug 17, 2026

64.8%

livebench · Aug 17, 2026

+15.6%

SWE-bench

38%

swebench · Aug 17, 2026

65.2%

swebench · Aug 17, 2026

+27.2%

GPQA Diamond

58%

seed-bootstrap · Aug 1, 2026

—

Time to first token

240 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

70 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$1.25/1M

seed-bootstrap · Aug 1, 2026

$0.66/1M

openrouter · Aug 17, 2026

+$0.59/1M

Output price

$5/1M

seed-bootstrap · Aug 1, 2026

$1/1M

openrouter · Aug 17, 2026

+$4/1M

Context window

seed-bootstrap · Aug 1, 2026

33k

openrouter · Aug 17, 2026

+2M

Recommended Workload Routing

Repo / coding agentsQwen2.5 Coder 32B Instruct

Higher SWE-bench (65.2%).

High-volume chatQwen2.5 Coder 32B Instruct

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen2.5 Coder 32B Instruct	Higher SWE-bench (65.2%).
High-volume chat	Qwen2.5 Coder 32B Instruct	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Gemini 1.5 Pro	Gemini 1.5 Pro is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct has the higher preference Elo in our latest snapshot (1,425). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct leads SWE-bench at 65.2% vs 38%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Qwen2.5 Coder 32B Instruct output tokens are $1/1M versus $5/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 1.5 Pro or Qwen2.5 Coder 32B Instruct?

We do not have TTFT for both models.

Which has the larger context window?

Gemini 1.5 Pro accepts 2M tokens versus 33k.

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 Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.