Gemma 4 26B A4B vs Ling-3.0-flash
Wins 0 of 7 areas
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Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Math · Long documents · Following instructions
Ling-3.0-flash is the stronger all-rounder.
Scores updated · 25 tests both models report · How we compare
Where each one wins
Tests won in each of the seven areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- CodingWriting and fixing software05Ling-3.0-flash5 of 5 tests
- AgentsCarrying out multi-step tasks on its own04Ling-3.0-flash4 of 4 tests
- ReasoningHard problems that need careful thinking03Ling-3.0-flash3 of 3 tests
- MathCompetition and research-level math03Ling-3.0-flash3 of 3 tests
- FactsGetting facts right instead of making them up01Ling-3.0-flash1 of 2 tests · 1 tie
- Long documentsFinding answers in very long texts01Ling-3.0-flash1 of 1 test
- Following instructionsDoing exactly what it is asked01Ling-3.0-flash1 of 1 test
Long documents and following instructions rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
Ling-3.0-flash costs 44% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Ling-3.0-flash pulls ahead
- Fixes real GitHub issues in many programming languagesSWE-bench Multilingual+55.1points ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+45.9points ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+42.8points ahead
Where Gemma 4 26B A4B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 25 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingLing-3.0-flash
- SWE-bench MultilingualLing-3.0-flash by 55.117.372.4+55.1
- SWE-bench ProLing-3.0-flash by 42.813.856.6+42.8
- Terminal-Bench 2.1Ling-3.0-flash by 16.43955.4+16.4
- LiveCodeBench v6Ling-3.0-flash by 5.777.182.8+5.7
- SciCodeLing-3.0-flash by 24042+2
AgentsLing-3.0-flash
- BrowseCompLing-3.0-flash by 45.926.372.2+45.9
- GDPValLing-3.0-flash by 193.422.4+19
- MCP AtlasLing-3.0-flash by 15.55065.5+15.5
- τ-Bench V3 · BankingLing-3.0-flash by 15.21227.2+15.2
ReasoningLing-3.0-flash
- GPQA DiamondLing-3.0-flash by 6.379.285.5+6.3
- Humanity's Last ExamLing-3.0-flash by 4.419.323.7+4.4
- CritPtLing-3.0-flash by 1.701.7+1.7
FactsLing-3.0-flash
- AA-Omniscience · Non-hallucinationLing-3.0-flash by 42.313.655.9+42.3
- AA-Omniscience · Accuracytie19.118.2tie
MathLing-3.0-flash
- IMOAnswerBenchLing-3.0-flash by 9.474.383.7+9.4
- HMMT Feb. 2026Ling-3.0-flash by 87987+8
- AIME 2026Ling-3.0-flash by 4.988.393.2+4.9
Following instructionsLing-3.0-flash
- IFBenchLing-3.0-flash by 2.172.474.5+2.1
Other results6 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- WideSearchLing-3.0-flash by 35.338.373.6+35.3
- AA-OmniscienceLing-3.0-flash by 32.9-50.8-17.9+32.9
- τ³-Bench BankingLing-3.0-flash by 141428+14
- Artificial Analysis Coding IndexLing-3.0-flash by 11.339.350.6+11.3
- AA Agentic IndexLing-3.0-flash by 101121+10
- AA IntelligenceLing-3.0-flash by 3.416.720.1+3.4
Questions people ask
Which is better, Gemma 4 26B A4B or Ling-3.0-flash?
Ling-3.0-flash wins all seven areas where both have results: coding, agents, reasoning, facts, math, long documents and following instructions. Gemma 4 26B A4B wins none.
Which is better for coding?
Ling-3.0-flash. It wins 5 of the 5 coding tests both models report; Gemma 4 26B A4B wins none.
Which is cheaper?
Gemma 4 26B A4B costs $0.13 per million input tokens and $0.40 per million output tokens; Ling-3.0-flash costs $0.07 and $0.22. That makes Ling-3.0-flash about 44% cheaper for the same work.
How do you compare the two?
We use the 25 benchmark tests both models have published scores on. The verdict counts the 19 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 6 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.