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GLM 4.7 vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct grades higher overall (68.7 against 66.3). Qwen3 VL 235B A22B Instruct costs 50% less for the same work.

GLM 4.7

by Z.ai · #34 of 67 overall

Coming soon · price at launch
Context
198K
Input / 1M
$0.40
Output / 1M
$1.75

Qwen3 VL 235B A22B Instruct

by Qwen · #31 of 67 overall

Coming soon · price at launch
Context
256K
Input / 1M
$0.20
Output / 1M
$0.88

Better overall

Qwen3 VL 235B A22B Instruct

Grade 66.3 vs 68.7

Cheaper

Qwen3 VL 235B A22B Instruct

50% less, $0.37 vs $0.74 blended

Larger context

Qwen3 VL 235B A22B Instruct

198K vs 256K tokens

Head to head

Public benchmarks. Longer is better; each value links to its source.

LMArena TextElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: 1,413
LMArena WebDevElo-style rating · LMArena (CC BY 4.0) · Oct 13, 2026
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: —
LMArena CodingElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: 1,463
SWE-bench Verified% of issues resolved · SWE-bench · Dec 22, 2025 · reference
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: —
Terminal-Bench 2.0% of tasks passed · Terminal-Bench · Dec 22, 2025 · reference
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: —
LiveCodeBenchpass@1, % · LiveCodeBench · Dec 22, 2025 · reference
Qwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: —

GLM 4.7Qwen3 VL 235B A22B Instructv = reported by the model’s maker. — = no public score yet. Arena bars span the range across every model we grade.

What it costs you

Drag to match your monthly usage.

GLM 4.7$150 /month
Qwen3 VL 235B A22B Instruct$75.20 /month

Qwen3 VL 235B A22B Instruct saves you $74.80 a month at this usage, $898 a year.

At a glance

AttributeGLM 4.7Qwen3 VL 235B A22B Instruct
Made byZ.aiQwen
AvailabilityComing soonComing soon
Overall gradeStrong · 66.3Strong · 68.7
Overall rank#34 of 67#31 of 67
Input price$0.40 per 1M$0.20 per 1M
Output price$1.75 per 1M$0.88 per 1M
Context window202,752 tokens262,144 tokens
Reasoning levelsNoYes
Reads imagesNoYes
Model IDglm-4.7qwen3-vl-235b-a22b-instruct

Try both with one key

Same endpoint, same key, both hosted in the USA. Change one word to switch models, in Claude Code, Cursor, Cline or your own code.

Get your API key
# Ask either model the same thing
curl https://fullsendai.com/v1/chat/completions \
  -H "Authorization: Bearer $FULLSEND_API_KEY" \
  -d '{"model": "glm-4.7", "messages": [...]}'

# …then swap one word
  -d '{"model": "qwen3-vl-235b-a22b-instruct", "messages": [...]}'

Questions

Is GLM 4.7 or Qwen3 VL 235B A22B Instruct better?

Qwen3 VL 235B A22B Instruct grades 68.7 against 66.3 for GLM 4.7, from public benchmarks.

Which is cheaper, GLM 4.7 or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct: $0.20 in and $0.88 out per million tokens, against $0.40 and $1.75 through FullsendAI.

Which has the larger context window?

Qwen3 VL 235B A22B Instruct, with 262,144 tokens.

Can I use both with one API key?

Yes, once they launch: both are coming soon, at the prices shown, and both will use the same FullsendAI key.

Model rankingsAll benchmarksCompare other models

Scores: LMArena (CC BY 4.0), SWE-bench, Terminal-Bench, LiveCodeBench, and model makers’ published results where marked v. Prices are FullsendAI’s, per million tokens. Data as of Oct 28, 2026.