Model comparison
DeepSeek V4 Flash vs Gemma 4 26B A4B
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Gemma 4 26B A4B #67 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash and Gemma 4 26B A4B share 2 comparable benchmark results. 1 of 8 categories are comparable. 20 results are unique to DeepSeek V4 Flash; 18 to Gemma 4 26B A4B.
Updated July 23, 2026- Shared results
- 2
- DeepSeek V4 Flash only
- 20
- Gemma 4 26B A4B only
- 18
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Flash has the cleaner BenchAlign overall profile here, landing at 58.88 versus 57.96. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B is the reasoning model in the pair, while DeepSeek V4 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V4 Flash | Δ | Gemma 4 26B A4B |
|---|---|---|---|
| Knowledge | DeepSeek V4 Flash38.8 | Margin→ 4.6 | Gemma 4 26B A4B43.4 |
| Agentic | DeepSeek V4 Flash49.1 | MarginNo overlap | Gemma 4 26B A4BNot measured |
| Coding | DeepSeek V4 Flash64.2 | MarginNo overlap | Gemma 4 26B A4BNot measured |
| Math | DeepSeek V4 Flash40.8 | MarginNo overlap | Gemma 4 26B A4BNot measured |
| Multimodal | DeepSeek V4 FlashNot measured | MarginNo overlap | Gemma 4 26B A4B73.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 8.1%B 17.2%Winner: Gemma 4 26B A4BΔ 9.1HLE: DeepSeek V4 Flash scored 8.1%; Gemma 4 26B A4B scored 17.2%. Gemma 4 26B A4B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 83%B 82.6%Winner: DeepSeek V4 FlashΔ 0.4MMLU-Pro: DeepSeek V4 Flash scored 83%; Gemma 4 26B A4B scored 82.6%. DeepSeek V4 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash | Gemma 4 26B A4B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash$0.14 input / $0.28 output | Gemma 4 26B A4B$0 input / $0 output | Gemma 4 26B A4B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 FlashNot available | Gemma 4 26B A4BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 FlashNot available | Gemma 4 26B A4BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash1M | Gemma 4 26B A4B256K | DeepSeek V4 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | DeepSeek V4 Flash | Gemma 4 26B A4B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 49.1% | — | Not comparable |
| MCP AtlasSource | 64% | — | Not comparable |
| ToolathlonSource | 40.7% | — | Not comparable |
| Claw-EvalSource | 57.8% | — | Not comparable |
| Gert LabsSource | 54.35% | — | Not comparable |
| AA Agentic IndexSource | — | 11.0% | Not comparable |
| τ²-bench resultsSource | — | 43.6% | Not comparable |
| GDPval-AASource | — | 13.1% | Not comparable |
| GDPval-AASource | — | 761 | Not comparable |
Coding6 benchmarks
Reasoning4 benchmarks
KnowledgeGemma 4 26B A4B wins13 benchmarks
| Benchmark | DeepSeek V4 Flash | Gemma 4 26B A4B | Result |
|---|---|---|---|
| MMLU-ProSource | 83% | 82.6% | DeepSeek V4 Flash leads |
| SimpleQASource | 23.1% | — | Not comparable |
| Chinese-SimpleQASource | 71.5% | — | Not comparable |
| GPQASource | 71.2% | — | Not comparable |
| GPQA-DSource | 71.2% | — | Not comparable |
| HLESource | 8.1% | 17.2% | Gemma 4 26B A4B leads |
| HLE w/o toolsSource | — | 8.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 25.7% | Not comparable |
| AA-GPQA DiamondSource | — | 79.2% | Not comparable |
| AA-HLESource | — | 18.3% | Not comparable |
| AA-Omniscience IndexSource | — | -48.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 80.9% | Not comparable |
Math4 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Flash | Gemma 4 26B A4B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 72.4% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Flash or Gemma 4 26B A4B?
DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 57.96. The biggest single separator in this matchup is HLE, where the scores are 8.1% and 17.2%.
Which is better for knowledge tasks, DeepSeek V4 Flash or Gemma 4 26B A4B?
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 43.4 versus 38.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
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