Model comparison
DeepSeek Coder 2.0 vs Gemini 3.5 Flash-Lite
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek Coder 2.0 #114 (Estimated); Gemini 3.5 Flash-Lite unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek Coder 2.0 and Gemini 3.5 Flash-Lite share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek Coder 2.0; 21 to Gemini 3.5 Flash-Lite.
Updated July 21, 2026- Shared results
- 0
- DeepSeek Coder 2.0 only
- 0
- Gemini 3.5 Flash-Lite only
- 21
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek Coder 2.0 and Gemini 3.5 Flash-Lite is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for DeepSeek Coder 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Gemini 3.5 Flash-Lite has the larger context window at 1M, compared with 128K for DeepSeek Coder 2.0.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek Coder 2.0 | Gemini 3.5 Flash-Lite | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek Coder 2.0Not available | Gemini 3.5 Flash-Lite$0.3 input / $2.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek Coder 2.0Not available | Gemini 3.5 Flash-LiteNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek Coder 2.0Not available | Gemini 3.5 Flash-LiteNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek Coder 2.0128K | Gemini 3.5 Flash-Lite1M | Gemini 3.5 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek Coder 2.0 | Gemini 3.5 Flash-Lite | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 54% | Not comparable |
| OSWorld-VerifiedSource | — | 74% | Not comparable |
| GDPval-AASource | — | 1140 | Not comparable |
| AA Agentic IndexSource | — | 26.8% | Not comparable |
| GDPval-AASource | — | 32.0% | Not comparable |
| AA BriefcaseSource | — | 634 | Not comparable |
| AA Tau3 BankingSource | — | 16.5% | Not comparable |
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek Coder 2.0 | Gemini 3.5 Flash-Lite | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 36.5% | Not comparable |
| AA-GPQA DiamondSource | — | 83.8% | Not comparable |
| AA-HLESource | — | 17.5% | Not comparable |
| AA-Omniscience IndexSource | — | 6.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 30.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 33.5% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek Coder 2.0 | Gemini 3.5 Flash-Lite | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 79.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek Coder 2.0 and Gemini 3.5 Flash-Lite on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek Coder 2.0 and Gemini 3.5 Flash-Lite today?
DeepSeek Coder 2.0: Pricing unavailable Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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