Compare / Qwen3 14B vs GLM 4.7 Flash
Qwen3 14B vs GLM 4.7 Flash
Which is cheaper, which is more capable, and which does better at each kind of work, from 12 results on 3 sources that measured both models.
Qwen3 14B or GLM 4.7 Flash? The short answer
- GLM 4.7 Flash is cheaper: $0.15 against $0.15 per million tokens, 3% less.
- GLM 4.7 Flash scores higher on the Artificial Analysis Intelligence Index: 14.9 against 8.2.
- On our business benchmarks, Qwen3 14B ranks higher for writing and sticking to the facts.
- On our business benchmarks, GLM 4.7 Flash ranks higher for reasoning and knowledge.
At a glance
| Qwen3 14B | GLM 4.7 Flash | |
|---|---|---|
| Price per million tokens | $0.12 in · $0.24 out | $0.060 in · $0.40 out |
| Blended (3 in : 1 out) | $0.15 | $0.15 |
| Cheapest host, blended | $0.13 (NextBit, INT4) | $0.15 (Venice, FP8) |
| Intelligence Index | 8.2 | 14.9 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 200,000 tokens |
| Weights | Open | Open |
| Developer based in | China | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Qwen3 14B | GLM 4.7 Flash |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 120 of 161 | not measured |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 159 of 195 | 139 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 128 of 187 | 148 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 17 of 153 | 109 of 153 |
| Speed under pressureGood decisions against a real clock (fast chess) | not measured | 22 of 22 |
Every shared result
| Benchmark | Metric | Qwen3 14B | GLM 4.7 Flash |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 8.20 | 14.9 |
| Artificial Analysisreported | GPQA Diamond% of questions | 60.4% | 58.1% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 4.5% | 7.6% |
| Artificial Analysisreported | IFBench% of instructions | 40.5% | 60.8% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 0.0% | 41.7% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 5.3% | 22.0% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 34.5% | 98.8% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 20.0% | 39.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.37 | 0.37 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 34.8 | 25.0 |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 99.9% | 91.6% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 5.4% | 9.3% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Qwen3 14B better than GLM 4.7 Flash?
It depends on the task. Among models available today, on our benchmarks and licensed sources, Qwen3 14B ranks higher for writing and sticking to the facts; GLM 4.7 Flash ranks higher for reasoning and knowledge.
Which is cheaper, Qwen3 14B or GLM 4.7 Flash?
GLM 4.7 Flash costs $0.15 per million tokens (three input to one output), against $0.15 for Qwen3 14B.
Run Qwen3 14B and GLM 4.7 Flash on your own prompt
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