Z.ai, released Jan 19, 2026
GLM-4.7-Flashprice, context, benchmarks and release details
Provisional: not enough results to rank yet Open weights 69% confidence 69 percent, Medium confidence, 3 of 7 expected sources in
53.3
SI Score
#97 of 142 ranked models
- Input, per 1M tokens
- $0.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.z.ai/guides/overview/pricing. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; zai/glm-4.7-flash
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Output, per 1M tokens
- $0.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.z.ai/guides/overview/pricing. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; zai/glm-4.7-flash
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Context window
- 200Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 131Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Jan 19, 2026models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Coding (weight 40 percent) 59.2
Math (weight 15 percent) 41.7
Preference (weight 15 percent) 68.0
Reasoning (weight 30 percent) 52.8
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.
Around it on the leaderboard
- 95 Inkling Small 53.6
- 96 DeepSeek V3.2 53.3
- 97 GLM-4.7-Flash 53.3
- 98 Step 3.5 Flash 53.0
- 99 Qwen3 30B A3B 52.6
Benchmark results
4 benchmarks, 6 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
GPQA Diamondreasoning 60.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 30, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
60.5 2 settings
- no reasoning 45.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Aug 30, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - Setting 2 60.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 30, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
OTIS Mock AIME 2024–2025math 58.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 30, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
58.3 2 settings
- no reasoning 25%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Aug 28, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - Setting 2 58.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 30, 2026
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
SWE-bench Verifiedcoding 59.2%Official model cards via models.devLab-reported; metric resolved; transcribed by MIT models.dev catalog; not independently evaluated [variant]
Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ 59.2
Open source ↗ 59.2
LMArena Textpreference 1350.7 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0
Open source ↗ 68.0
Open source ↗ 68.0
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Yesmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- textmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 55% of expected source weight
Reported (3)
- Epoch AI BenchmarkingOct 8, 2026
- Official model cards via models.devOct 8, 2026
- LMArena / ArenaOct 8, 2026
Awaiting (4)
- ARC Prize13% of weight
- Humanity’s Last Exam13% of weight
- LiveBench13% of weight
- Terminal-Bench6% of weight
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.