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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. inclusionAI: Ling-2.6-flash vs Qwen 2.5 Coder 32B

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

inclusionAI: Ling-2.6-flash vs Qwen 2.5 Coder 32B benchmark

In this head-to-head showdown, inclusionAI: Ling-2.6-flash is more budget-friendly at $0.03/1M 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: Both inclusionAI: Ling-2.6-flash and Qwen 2.5 Coder 32B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Verified Head-to-Head Advantage Breakdown

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

inclusionAI: Ling-2.6-flash (3)Qwen 2.5 Coder 32B (0)
inclusionAI: Ling-2.6-flash
3 of 3 Wins
✓Input price✓Output price✓Context window
Qwen 2.5 Coder 32B
0 of 3 Wins
Competitive baseline across remaining benchmarks
inclusionai
Leads 3 of 3 metrics
inclusionAI: Ling-2.6-flash

Auto-discovered from OpenRouter (inclusionai/ling-2.6-flash). Preview until a second source matches.

$0.03/1M out
Alibaba
Qwen 2.5 Coder 32B

Alibaba dedicated open-weight code generation model with near-frontier SWE-bench Verified coding capability.

Elo 1,425$0.72/1M out
Top Rival Showdowns for inclusionAI: Ling-2.6-flash
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 LeaderinclusionAI: Ling-2.6-flash Wins

inclusionAI: Ling-2.6-flash

$0.03 / 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.

inclusionAI: Ling-2.6-flash (3)vsQwen 2.5 Coder 32B (7)
inclusionAI: Ling-2.6-flash: 3W (30%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 7W (70%)
← inclusionAI: Ling-2.6-flashQwen 2.5 Coder 32B →
🏆Qwen 2.5 Coder 32B(5/5)

Intelligence & Reasoning

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

Benchmark
inclusionAI: Ling-2.6-flashvsQwen 2.5 Coder 32B
Preference Elo
—vs1,425
Coding Elo
—vs1,495
SWE-bench
—vs65.2%
LiveBench
—vs64.8%
GPQA Diamond
—vs74%
inclusionAI: Ling-2.6-flash: 0WQwen 2.5 Coder 32B: 5W
🏆Qwen 2.5 Coder 32B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
inclusionAI: Ling-2.6-flashvsQwen 2.5 Coder 32B
Output speed
—vs110 tok/s
Time to first token
—vs180 ms
inclusionAI: Ling-2.6-flash: 0WQwen 2.5 Coder 32B: 2W
🏆inclusionAI: Ling-2.6-flash(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
inclusionAI: Ling-2.6-flashvsQwen 2.5 Coder 32B
Output price
$0.03/1Mvs$0.72/1M+$0.69/1M
Input price
$0.01/1Mvs$0.18/1M+$0.17/1M
Context window
262kvs131k+131k
inclusionAI: Ling-2.6-flash: 3WQwen 2.5 Coder 32B: 0W

Side-by-Side Benchmark Matrix

Preference Elo
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B1,425
seed-bootstrap · Aug 1, 2026
Coding Elo
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B1,495
seed-bootstrap · Aug 1, 2026
LiveBench
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B64.8%
seed-bootstrap · Aug 1, 2026
SWE-bench
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B65.2%
seed-bootstrap · Aug 1, 2026
GPQA Diamond
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B74%
seed-bootstrap · Aug 1, 2026
Time to first token
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B180 ms
seed-bootstrap · Aug 1, 2026
Output speed
inclusionAI: Ling-2.6-flash—
Qwen 2.5 Coder 32B110 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.17/1M
inclusionAI: Ling-2.6-flash$0.01/1M
openrouter · Aug 17, 2026
Qwen 2.5 Coder 32B$0.18/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.69/1M
inclusionAI: Ling-2.6-flash$0.03/1M
openrouter · Aug 17, 2026
Qwen 2.5 Coder 32B$0.72/1M
seed-bootstrap · Aug 1, 2026
Context window+131k
inclusionAI: Ling-2.6-flash262k
openrouter · Aug 17, 2026
Qwen 2.5 Coder 32B131k
seed-bootstrap · Aug 1, 2026
BenchmarkinclusionAI: Ling-2.6-flashQwen 2.5 Coder 32BAdvantage Delta
Preference Elo—
1,425
seed-bootstrap · Aug 1, 2026
—
Coding Elo—
1,495
seed-bootstrap · Aug 1, 2026
—
LiveBench—
64.8%
seed-bootstrap · Aug 1, 2026
—
SWE-bench—
65.2%
seed-bootstrap · Aug 1, 2026
—
GPQA Diamond—
74%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
180 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
110 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.01/1M
openrouter · Aug 17, 2026
$0.18/1M
seed-bootstrap · Aug 1, 2026
+$0.17/1M
Output price
$0.03/1M
openrouter · Aug 17, 2026
$0.72/1M
seed-bootstrap · Aug 1, 2026
+$0.69/1M
Context window
262k
openrouter · Aug 17, 2026
131k
seed-bootstrap · Aug 1, 2026
+131k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 95% with inclusionAI: Ling-2.6-flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
inclusionAI: Ling-2.6-flash$0.80 / mo
In: $0.35Out: $0.45
Qwen 2.5 Coder 32B$17.10 / mo
In: $6.3Out: $10.8
Estimated Cost Delta

inclusionAI: Ling-2.6-flash is estimated to save $16.30/month ($196/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    inclusionAI: Ling-2.6-flash:Pick inclusionAI: Ling-2.6-flash when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinclusionAI: Ling-2.6-flash

Lower output list price ($0.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinclusionAI: Ling-2.6-flash

Larger window (262k).

Screenshots / visionQwen 2.5 Coder 32B

Qwen 2.5 Coder 32B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatinclusionAI: Ling-2.6-flashLower output list price ($0.03/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGinclusionAI: Ling-2.6-flashLarger window (262k).
Screenshots / visionQwen 2.5 Coder 32BQwen 2.5 Coder 32B 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
inclusionai

inclusionAI: Ling-2.6-flash

Elo n/a
SWE-bench—
Speed (tok/s)262k
Input / 1M Tokens$0.01/1M
Output / 1M Tokens$0.03/1M
Alibaba

Qwen 2.5 Coder 32B

Elo 1,425
SWE-bench65.2%
Speed (tok/s)110 tok/s
Input / 1M Tokens$0.18/1M
Output / 1M Tokens$0.72/1M

Frequently Asked Questions

Which is better overall, inclusionAI: Ling-2.6-flash or Qwen 2.5 Coder 32B?
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, inclusionAI: Ling-2.6-flash or Qwen 2.5 Coder 32B?
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?
inclusionAI: Ling-2.6-flash output tokens are $0.03/1M versus $0.72/1M. Input prices and retry rates still move the real bill.
Which is faster, inclusionAI: Ling-2.6-flash or Qwen 2.5 Coder 32B?
We do not have TTFT for both models.
Which has the larger context window?
inclusionAI: Ling-2.6-flash accepts 262k tokens versus 131k.
Can I self-host either model?
Qwen 2.5 Coder 32B 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. inclusionAI: Ling-2.6-flash and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All inclusionAI: Ling-2.6-flash matchups →|All Qwen 2.5 Coder 32B matchups →
Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)Qwen 3 Max vs Qwen 2.5 Coder 32BQwen QwQ 32B vs Qwen 2.5 Coder 32BQwen3.8 27B vs Qwen 2.5 Coder 32BQwen2.5 Coder 32B Instruct vs Qwen 2.5 Coder 32B